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Speaker 1: This is me eat podcast coming at you shirtless, severely

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Speaker 1: bug bitten in my case, underwear listening podcast. You can't

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Speaker 1: predict anything presented by first like creating proven, versatile hunting

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Speaker 1: apparel from Marino bass layers to technical outerwear for every hunt.

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Speaker 1: First light, Go farther, stay longer. All right, everybody, We're

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Speaker 1: coming from Michigan's Upper Peninsula the u P and uh.

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Speaker 1: Here was Sean Weaver, who has been pain right now

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Speaker 1: to be recording up stupid podcast in the cold gray

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Speaker 1: light of dawn on the duck hunt, right at sunrise,

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Speaker 1: recording a podcast. It's just it's just it should be illegal.

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Speaker 1: But the way it worked out, like Phil's here all

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Speaker 1: the way, all the way to to to take his

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Speaker 1: engineering abilities on the road, that's true. Did you have

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Speaker 1: fun yesterday, Phil out dock Hutton. Oh yeah, no, it

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Speaker 1: was a blast. Especially. I mean, we'll get into it later.

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Speaker 1: But seeing those boats here we're using and everything, it

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Speaker 1: was something I was not aware of. You weren't aware

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Speaker 1: a layoff boats, not at all. Yeah. Um, the last

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Speaker 1: time we were this is a different experience because the

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Speaker 1: last time we were on the road together to record

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Speaker 1: a show, we got to go to a tiki bar.

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Speaker 1: That's true. Well, here's the thing. I was planning on

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Speaker 1: going by myself. I wasn't going to subject you to that.

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Speaker 1: And then for some reason you and cal Rourke, Denver,

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Speaker 1: your your wife all decided to join. Uh and it

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Speaker 1: was embarrassing for you to witness me in that in

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Speaker 1: that sort of space. But was it your birthday or

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Speaker 1: my anniversary? Was my wedding anniversary? And we shared a

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Speaker 1: drink out of a pineapple? It's pretty covid people. Yes,

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Speaker 1: it was the birth of COVID Yeah, that's it was February.

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Speaker 1: It was the fane. Well, yeah, we're at the National

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Speaker 1: Wild Turkey Federation. There's no way of knowing, but us

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Speaker 1: sharing that drink could have you know, it could have

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Speaker 1: spread it. Yeah, it was the pineapple. Okay. So Phil's here,

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Speaker 1: joined by Sean Weaver and also Dylan Grapes Michigan Native

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Speaker 1: Lake State University. Did you graduate alone? What's your study?

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Speaker 1: Fishers in wildlife? You did? Man? Everybody I know that

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Speaker 1: went there did that. I haven't used it yet, but

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Speaker 1: I got it. Well, no, you use it like he

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Speaker 1: use it like a like what it was meant for? Man? Yeah,

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Speaker 1: you got a major in duck hunting. You don't feel

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Speaker 1: that you ever killed Have you ever killed a duck?

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Speaker 1: You wouldn't have killed if you hadn't gone to Lake

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Speaker 1: State and learned something. Um probably not, Probably not. I've

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Speaker 1: forked out a lot of money to kill one extra Yeah,

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Speaker 1: I'd like, yeah, I want It makes me returned to

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Speaker 1: a thing that uh, Pat Durkin said, I think on

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Speaker 1: this podcast where he was talking about what he Pat

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Speaker 1: Durkin used to be the He us to be the

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Speaker 1: editor of Deer and Deer Hunting magazine, and so he

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Speaker 1: got to spent a lot of time with him profile

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Speaker 1: a lot of like sort of the most famous big

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Speaker 1: bark killers on the planet, and he gradually became disheartened

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Speaker 1: because he said that somehow many of them, um as

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Speaker 1: polished as they are at killing deer, would be incapable

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Speaker 1: of telling you what kind of tree their tree stand

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Speaker 1: is in. And he wanted it to be otherwise, right,

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Speaker 1: you know, But it's good that you got like a

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Speaker 1: fish and wildlife deal. Yeah. I enjoyed it, and it

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Speaker 1: brought me to this area that I'd really never explored

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Speaker 1: a whole lot. And I got four years to drive

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Speaker 1: around and look at all sorts of ship and so

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Speaker 1: you start, you started. Yeah, I I came up here

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Speaker 1: in two thousand and fifteen, was my freshman year. And then, uh,

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Speaker 1: you did it because of the hunting potential. The bid

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Speaker 1: then for me was that when you lived on campus,

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Speaker 1: at our public safety you could like check in your shotgun,

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Speaker 1: so you could if you lived in the dorms, you

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Speaker 1: could put your gun at the public safety and then

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Speaker 1: you could go in and check it out, go hunted,

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Speaker 1: and back in. And so you lived in dorms. Yeah,

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Speaker 1: my first two years. See when I was up here,

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Speaker 1: we got a waiver somehow or another. They had like

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Speaker 1: a let a sign off you could do that. They

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Speaker 1: had to approve if you want to live within the

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Speaker 1: first two years. But I did the dorm dorm life

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Speaker 1: for two years and then moved off. It's interested to

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Speaker 1: this place. I'm glad to hear that lake, the Lake

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Speaker 1: state and the up still sucks in hunting fishing kids

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Speaker 1: from downstate because me and my brother, uh, they both

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Speaker 1: wanted to do fishing wildlife. So we all did community college,

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Speaker 1: which we call like thirteenth grade skiing community college. UM,

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Speaker 1: and then they came up here. I came up and

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Speaker 1: did one year. But I was like, I wanted to

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Speaker 1: be a writer by that point mostly, so I only

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Speaker 1: did one semester here and then went back down state

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Speaker 1: where you could get like a writing whatever the hell?

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Speaker 1: Yeah at Grand Valley. But then we hung out here.

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Speaker 1: If this is our primary hangout for years up here

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Speaker 1: to fish, steel ahead, yeah, everything else man, hunting, deer, Yeah,

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Speaker 1: there's all sorts of If you just kind of get

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Speaker 1: out and you know, explore, you can find all the

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Speaker 1: fishing and hunting opportunities you want. Oh it's amazing, man.

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Speaker 1: And it's like a thirty minute drive. It's not. You're

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Speaker 1: not ranging like you find out in the West where

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Speaker 1: you gotta go few everything four hours. Yeah. No, that's

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Speaker 1: a good spot. Man. So so now you're you're a

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Speaker 1: waterfowl guide yep, but you work out in Kansas. I

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Speaker 1: died out in Kansas. Um for bid Kansas Outdoors And then, um,

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Speaker 1: what's that place we're out of, Hutchinson? Um do you

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Speaker 1: recommend it? Oh? Yeah, really good? People? Would you tell

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Speaker 1: me if you didn't recommend it that that'd put you

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Speaker 1: in a weird spot? As long as Ben's not listening

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Speaker 1: to the podcast now, I I uh last year is

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Speaker 1: my first year. UM. I really didn't really enjoyed it. UM.

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Speaker 1: It was completely different for me. UM coming from Michigan

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Speaker 1: where you're hunting honkers and going out there and you're

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Speaker 1: hunting lessers and specks and snows, and that was just

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Speaker 1: completely different. UM. So I had to there was a

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Speaker 1: big learning curve. UM. I'm sure I'll learn more this

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Speaker 1: year too. But there's a lot of birds. Everybody at

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Speaker 1: the at the business does their part. Everybody works hard,

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Speaker 1: and so that was clients on birds. But that was

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Speaker 1: your first year. I'm just I'm confused. So last year

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Speaker 1: was your first year guiding there or first year as

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Speaker 1: a guide ever, um, first year guiding there, And I

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Speaker 1: did a few controlled uh pheasant hunts here in Michigan

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Speaker 1: as branches um, but that was about it. And then

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Speaker 1: obviously out there is like four and a half months

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Speaker 1: of guiding, so it's a grind UM. And then I

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Speaker 1: come back here and this year I have a good

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Speaker 1: buddy uh kind of central up that runs bear hunts,

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Speaker 1: and I went out there and I helped him run

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Speaker 1: bear clients UM in September, and then I ran a

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Speaker 1: few hunter hunts up here too. So when you're doing

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Speaker 1: the bear clients, you guys are it's it's like draw

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Speaker 1: tech eggs, but you're running. You're running baits in September YEP.

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Speaker 1: So it's all we have a point system for our

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Speaker 1: bear tags here, um, and then we run. We took

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Speaker 1: on twenty clients and we run thirty five different baits. UM,

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Speaker 1: so we stay busy. Do you just get big bears? Um?

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Speaker 1: We had a lot on camera. The biggest bear we

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Speaker 1: killed us three hundred pounds, which for mission, our average

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Speaker 1: black bears a pounds. That's a good bear. But we

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Speaker 1: had a lot of pictures, you know, four or five pounders.

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Speaker 1: But when you get clients in the stand that have

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Speaker 1: never seen a bear before, the smaller ones is always

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Speaker 1: trying to come in first. When that one watchs then

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Speaker 1: to them it looks like the four hundred pounder and

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Speaker 1: they shoot it. But we didn't have like when I

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Speaker 1: lived in Lower Lower Peninsula, we didn't have bear hunting.

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Speaker 1: There was just there was bear hunting a little bit

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Speaker 1: north of us. We didn't have bear hunting where we live,

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Speaker 1: so like, bear tags weren't really on our radar. UM. Well,

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Speaker 1: my brother Danny started going to school up here. He

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Speaker 1: right away drew a bear tag. So we started going

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Speaker 1: out and U shooting carp with our bows, which isn't

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Speaker 1: the best. Baby didn't really know what we're doing. And

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Speaker 1: I had a big freezer already used to freeze like

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Speaker 1: muskrats and stuff during trapping season. We filled that thing

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Speaker 1: up with bags of carp um that we shot with

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Speaker 1: our bows. And so he started. He started a little

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Speaker 1: bait stationed up here and right away killed and I

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Speaker 1: remember he had a nice one. He killed like a

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Speaker 1: two pound boar um right away. And then my other

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Speaker 1: brother when he came up here, he got a bear

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Speaker 1: tag and he went and did like the thing where

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Speaker 1: you go around and get expired. Yeah, you know, remember

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Speaker 1: it so funny. He came into a case of bugles.

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Speaker 1: You know, it was like little bugles. Yeah, put him

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Speaker 1: on your fingers or you get cheese. Like I remember

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Speaker 1: a guy used to when I was working for doing

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Speaker 1: a millwright work for Ronnie Bam, there was a guy

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Speaker 1: that he had who had had too many d u

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Speaker 1: s and couldn't drive anymore. So I was like his

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Speaker 1: basing his chauffeur because he knew how to do a

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Speaker 1: lot of the jobs. So I became like I had

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Speaker 1: to drive him around because he couldn't drive, and that

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Speaker 1: learned how to do all of it. The stuff he did.

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Speaker 1: His favorite treat on Friday night driving back from the

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Speaker 1: job is he get bugles in a thing of squirt

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Speaker 1: cheese in black olves. And he liked to fill that

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Speaker 1: bugle up with squirt cheese, top it with a black

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Speaker 1: olive and eat it while he's going down the road.

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Speaker 1: And you can imagine he had a drink accompaniment. So anyhow,

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Speaker 1: like my brother wander around out in the woods, and

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Speaker 1: I even have a picture of him, like he's like

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Speaker 1: standing there with like all these bugles, but he'd always

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Speaker 1: have a box the bugles under his arm and he'd

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Speaker 1: be eating the bugles. But then he's like dumped him.

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Speaker 1: Then he dumped some of the box into the bait thing.

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Speaker 1: But it finally becomes the first day and he comes

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Speaker 1: out there with a He goes out there with a

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Speaker 1: bucket to add the bait pile, right, and he goes

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Speaker 1: and dumps the bucket on the bait pile. And he's

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Speaker 1: getting situated in his blind and realize that ship I

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Speaker 1: left a bucket at the bait pile. So he says

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Speaker 1: he spins to look and there's already a bear standing

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Speaker 1: there and that was his bear. Nice just like very productive.

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Speaker 1: Did he did he topped the pile off with squirt

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Speaker 1: cheese and all it. No, No, I don't know. That

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Speaker 1: was a different guy straight that would have brought him,

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Speaker 1: would have brought in the big ones. But yeah, man,

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Speaker 1: it was a whole other world, you know living up here. Man. Yeah, yeah,

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Speaker 1: it's uh eating, get away from people, and it's kind

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Speaker 1: of nice. It's quiet, hum and there's lots of wildlife,

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Speaker 1: lots of good opportunities to get out, even if you're

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Speaker 1: not like in hunting fishing, if you just you know,

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Speaker 1: you want to hike, you know, it's a qualmenton falls

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Speaker 1: is right here pictured rocks. I mean, there's a lot

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Speaker 1: of good seeing sight to go, you know, to go

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Speaker 1: and look at Yeah, and I did up here what

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Speaker 1: would have been almost like unimaginable where we grew up hunting.

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Speaker 1: Is as soon as I moved up here, I got

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Speaker 1: one day, I got too deer with my bow. And

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Speaker 1: one day which should have taken three years, taken three

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Speaker 1: years in some of the ground we used to hunting,

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Speaker 1: you know down below. Yeah, it's the deer hunts definitely

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Speaker 1: not what it used to be, that's what I've heard.

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Speaker 1: But our our wolf population is getting pretty big. I

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Speaker 1: remember cutting my first wolf track up here, um and

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Speaker 1: being very surprised by it. Yeah you know, but now yeah,

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Speaker 1: but in those days, it was like thirty five what

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Speaker 1: do they talked about, like thirty five deer per square

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Speaker 1: miles and stuff. Man, just it was unbelievable, and the

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Speaker 1: bad winnard coming. They'd be like yarded up and starved

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Speaker 1: to death everywhere, and it was wild. Yeah, yeah, we've

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Speaker 1: got you know, obviously we ran all the bear baits

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Speaker 1: and uh, it wasn't uncommon that at least one of

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Speaker 1: your baits every night had wolves on it. Yeah, and

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Speaker 1: we have pictures like three four wolves and one trail

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Speaker 1: camp picture on your baits and they'll they'll rip them

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Speaker 1: right open, move all the logs right out of the way,

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Speaker 1: and oh yeah, they'll run the bear right off. Huh.

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Speaker 1: That's interesting. Sucks for us. But you don't do any

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Speaker 1: fur trapping to you. I do not. Um. The buddy

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Speaker 1: mine that owns the company, his name is John ron Um.

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Speaker 1: What's his name, John ron huh um enough, uh, yeah,

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Speaker 1: that's like a weird thing, Like it's not his fault, man,

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Speaker 1: it's a weird thing parents do now and then you know,

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Speaker 1: therefore I think of Jonathan Ron. Yeah, I don't know.

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Speaker 1: I don't know if his full name is longer. I

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Speaker 1: know his dad is also John Ron, So he's like

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Speaker 1: Ron John Shirts surf shop. Right, He's he's a junior,

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Speaker 1: but his company is you Per Outdoors nine oh SIPs

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Speaker 1: and he does his big things bears, but he does

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Speaker 1: he actually takes uh trapping clients and basically the clients

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Speaker 1: will come in and try up with him and like

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Speaker 1: run the line with him, and then they get to

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Speaker 1: kind of see how it's done and like the ins

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Speaker 1: and outs of it because they're because they're doing like

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Speaker 1: a class, they want to learn it or they want

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Speaker 1: to experience it both. And then, um, so they try

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Speaker 1: to see how it's done, you know, what to look for,

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Speaker 1: how to do it, um, and then hopefully they get

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Speaker 1: something and then um, he'll take te him you know,

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Speaker 1: tannent and everything. And then they did to take the

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Speaker 1: belt back with him. Yeah, so he's just trying to

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Speaker 1: get into that. And then he just got his captain's license. Um,

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Speaker 1: so he's running started next year, he's going to start

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Speaker 1: doing uh late trout j in on late Superior and

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Speaker 1: then uh Walleye trips as well. Real go get her. Yeah,

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Speaker 1: he's he's really good, dude. When I took when I

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Speaker 1: was in high school, you'll know this name because of

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Speaker 1: where you're from. When I was in high school, I

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Speaker 1: took a day of trapping lessons for two and fifty

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Speaker 1: bucks from Mark June, who when for prices plummeted, he

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Speaker 1: became like a big deer guy, like a big white

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Speaker 1: tail started doing like white tail products and all that.

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Speaker 1: You know that name Sean Yep. Yeah, day at trapping lessons.

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Speaker 1: M I I personally have never relayed on it, but

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Speaker 1: I know it's it's been around here. I was gonna

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Speaker 1: ask you if you're allowed because back in the old days,

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Speaker 1: you were allowed two river rotters here per year, and

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Speaker 1: you're only allowed one river otter per year in the

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Speaker 1: southern part of the the the northern half of the

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Speaker 1: southern part of the state. So it's cool because you

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Speaker 1: can catch two up here. Yeah. I don't know if

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Speaker 1: it's still too or if it's down to one, but oh,

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Speaker 1: SHAWNA wanna returned to something. Yeah, this is your second

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Speaker 1: time on the show. Second time. The first time you

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Speaker 1: were on the show, we were with your friend who

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Speaker 1: blew his toes off with Danny to toe Morrison who

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Speaker 1: blew his toes off in a layout blind. And what's

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Speaker 1: funny about this is yesterday we were hunting and layout

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Speaker 1: boats and I, at first I was trying to figure out,

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Speaker 1: like where I wanted a shotgun delay. Um, I thought

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Speaker 1: about your friend blowing his toes off, layoff, aware of like,

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Speaker 1: all of a sudden I should not put Then I

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Speaker 1: put it together that you would not only blow your

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Speaker 1: toes off in a layout boat, but you would then sink.

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Speaker 1: And so then I was like, oh, that's why one

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Speaker 1: would never ever third barrel inside the boat. It'll be

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Speaker 1: bad news. Yeah. In thirty five water joined also by

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Speaker 1: our very own sitting here the first person to ever

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Speaker 1: uh be on this show. In birken Stocks, Robert Stocks

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Speaker 1: introduceself Max. My name is Max Barta, and um, I'm

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Speaker 1: a camera guy. Are those actual burken stocks? Do you? Um?

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Speaker 1: Do you tend to side with the like? Do you

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Speaker 1: have a lot of conspiracy theories? Do you think kem

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Speaker 1: like our cam trails and stuff like that? You just

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Speaker 1: like them. They're comfy, They're like crocs but more fashionable.

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Speaker 1: Is that right, listen? I have Yeah, I like him.

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Speaker 1: I'm not down on him. I think it's great. Have

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Speaker 1: you tried them before? No? I never have. Kind of

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Speaker 1: what's that you can put them on for a while

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Speaker 1: to day. If I put them on, I start going

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Speaker 1: right on, right on. You don't know what's working. You're like,

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Speaker 1: so your longtime production partners with Sean um it's been

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Speaker 1: about I think this is our fifth year working together. Sex. Yeah,

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Speaker 1: working together, So you don't you don't you know what

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Speaker 1: you need to realize. One thing I like about Sean,

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Speaker 1: and it makes me like about you, is how loyal

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Speaker 1: Sean is. Yeah, we didn't know each other, but when

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Speaker 1: we're trying to get Sean to come work for us,

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Speaker 1: Sean was like, there's just only one way this will happen,

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Speaker 1: and that it's Max comes to to the point where

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Speaker 1: he legitimately would have not come work for us, who

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Speaker 1: always asked? I definitely. So I was either like, either

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Speaker 1: Sean is the most loyal dude on the planet or

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Speaker 1: Max is the greatest dude on the planet. But either way,

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Speaker 1: either way it seems like a win, right yeah, No,

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Speaker 1: I mean, Sean, I have been working together, like we

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Speaker 1: said about for six years, and we found out right

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Speaker 1: away what worked and what didn't. We just stuck with it.

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Speaker 1: So and you guys have done the you guys have

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Speaker 1: done a lot of the waterfowl work together, but also

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Speaker 1: predator stuff. Yeah, we've been chasing fur and feathers for

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Speaker 1: a long time. Is that the main is that the

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Speaker 1: main thing you guys work on though, Yeah, you know,

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Speaker 1: part of like working with Max and me wanting to

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Speaker 1: have Max come along is there's few not a lot

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Speaker 1: of people can handle the road time of traveling chasing ducks,

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Speaker 1: and like we've been on the road for two and

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Speaker 1: a half weeks now, there's not a whole lot of

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Speaker 1: production people that, like, I want to be on the

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Speaker 1: road chasing ducks for two and a half weeks. I

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Speaker 1: think they think they do right until it happens. You

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Speaker 1: guys ever getting big, huge fights. Oh there's arguments here

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Speaker 1: and there preview one for me, I don't I don't know.

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Speaker 1: Max broke my tailgate. Hits my tailgate, you know you

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Speaker 1: could tell he was pretty upset. No, it's just like, yeah,

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Speaker 1: it was just like I didn't break that tailgate handle.

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Speaker 1: You broke that tailgate handle. I think it broke itself. Sean,

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Speaker 1: lay out what we're working on here. We're working on

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Speaker 1: a new show called Duck Lore. We're in Michigan hunting ducks,

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00:20:06,320 --> 00:20:11,359
Speaker 1: hunting divers on the Big Water, and we're putting together

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00:20:11,400 --> 00:20:15,240
Speaker 1: a whole new waterfowl series and Shawn's at the helm.

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00:20:15,280 --> 00:20:18,160
Speaker 1: At the Helm, you get to see him every single time.

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Speaker 1: We're covering all kinds of different ducks, different places, really

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00:20:23,720 --> 00:20:29,240
Speaker 1: gathering the waterfowl experience across the whole range of places.

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00:20:29,760 --> 00:20:33,159
Speaker 1: Started in Texas. Now we're all the way up here

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Speaker 1: in Michigan, which seems backwards for the migration. Yeah, we're

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00:20:36,080 --> 00:20:39,600
Speaker 1: did you stop along the way um North Dakota and Nebraska,

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Speaker 1: so we're on trip four. Then you're gonna head west

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Speaker 1: from here. We're gonna talk more. We'll talk more about

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00:20:46,000 --> 00:20:49,800
Speaker 1: that in a minute, but a couple of updates. The

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00:20:49,920 --> 00:20:52,600
Speaker 1: House of bodities. So the auction House of Bodies run

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Speaker 1: to group three. Now, well, when you're listening to this,

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Speaker 1: run a group three. We're a couple of days ahead

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Speaker 1: of the schedule here because right now we got what

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Speaker 1: kind of how do hell do you say, Daniel's dog.

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Speaker 1: We always been calling it a drop or something just

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00:21:06,280 --> 00:21:10,399
Speaker 1: for short, I'm the wrong guy to ask the dogs

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00:21:10,480 --> 00:21:13,360
Speaker 1: kicking ass on the auction house, what's it sitting at.

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Speaker 1: It's currently it's sitting at like it's a good puppy.

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00:21:19,280 --> 00:21:22,359
Speaker 1: But you know what, they have four pups. So the

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00:21:22,359 --> 00:21:25,560
Speaker 1: way it's gonna work is the winning bidder works with

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00:21:25,600 --> 00:21:28,240
Speaker 1: the breeder to select which dog is back like what

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00:21:28,440 --> 00:21:34,200
Speaker 1: they want to Uh. Basically, male female will pick on

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00:21:34,240 --> 00:21:37,200
Speaker 1: the litter from their perspective, they get to pick because

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00:21:37,200 --> 00:21:39,119
Speaker 1: there's four different dogs. So the breeder will work with

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00:21:39,119 --> 00:21:40,439
Speaker 1: you to find out what you want. Because someone might

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00:21:40,440 --> 00:21:44,640
Speaker 1: want a male, they want a female, whatever the hell? Uh. Anyways,

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00:21:44,680 --> 00:21:48,399
Speaker 1: Group three is now launched. We have a so we

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Speaker 1: got a lot of cool friends. We have a signed

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00:21:52,000 --> 00:21:58,720
Speaker 1: Pittsburgh Steelers jersey from Steelers linebacker Joe Schobert. He donated

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00:21:58,760 --> 00:22:00,720
Speaker 1: his football jersey to the All Action House. Got a

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00:22:00,760 --> 00:22:04,199
Speaker 1: bunch of teammates to sign it. That's pretty cool, including

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00:22:04,520 --> 00:22:10,119
Speaker 1: the quarterback Ben Roethlisberger and T J. Watt, Joe Hayden.

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00:22:10,800 --> 00:22:13,960
Speaker 1: There's a bunch of good names on there. Makea Fitzpatrick,

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00:22:14,200 --> 00:22:21,359
Speaker 1: Chase Claywood, Devin Bush, Cam Hayward, ju Ju Smith, Schustern, G. Harris. Anyways,

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00:22:21,840 --> 00:22:24,479
Speaker 1: all these fellers signed this jersey, and this signed jersey

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00:22:24,560 --> 00:22:27,320
Speaker 1: is up in group three, so all the signatures on it.

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00:22:27,600 --> 00:22:30,440
Speaker 1: We got a hand forged carbon knife donated by Cal

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00:22:31,720 --> 00:22:37,080
Speaker 1: but made by Riley Kirkpatrick Forge and Sheridan Oregon. It

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00:22:37,160 --> 00:22:39,160
Speaker 1: was Cal was supposed to use it for special occasions,

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00:22:39,200 --> 00:22:40,960
Speaker 1: but he doesn't he according to Cal, he doesn't have

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00:22:41,040 --> 00:22:45,800
Speaker 1: a nice enough special occasions. It's more beautiful than uh,

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00:22:46,040 --> 00:22:48,640
Speaker 1: something he should own, So it's going up on there.

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00:22:48,640 --> 00:22:52,840
Speaker 1: It's meant for carving large chunks of meat. This is

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00:22:52,920 --> 00:22:54,680
Speaker 1: other thing that's kind of this crazy set of things.

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00:22:54,680 --> 00:23:02,120
Speaker 1: There's artist David Burgess. Burgess he uh he made these

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00:23:02,200 --> 00:23:06,639
Speaker 1: mugs that have everybody's ugly as mug on him. So

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00:23:06,760 --> 00:23:09,320
Speaker 1: there's a cow mug, Yanni mugg. There's even like a

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00:23:09,359 --> 00:23:12,160
Speaker 1: dirk and mug as a naval captain. All the people's

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00:23:12,200 --> 00:23:14,280
Speaker 1: mugs are on the set of mugs. No one in

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00:23:14,320 --> 00:23:16,800
Speaker 1: the world has a set. This is like not a thing.

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00:23:17,359 --> 00:23:19,560
Speaker 1: These are like one offs. You can get the whole

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00:23:19,560 --> 00:23:24,760
Speaker 1: set of ugly mugs by Dave Spencer. Now everybody knows

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00:23:24,760 --> 00:23:31,760
Speaker 1: that Spencer Newharst, big Rockhound Spencer. His wife Shelby took

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00:23:32,480 --> 00:23:35,320
Speaker 1: There's ship Spencer's always finding out in the woods and

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00:23:35,440 --> 00:23:41,680
Speaker 1: made a custom petrified wood necklace, Montana moss egg At

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00:23:41,680 --> 00:23:45,200
Speaker 1: hoop earrings, and a pair of Montana moss egg it

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00:23:45,440 --> 00:23:50,199
Speaker 1: stud earrings, all being auctioned as a collection for that

396
00:23:50,320 --> 00:23:55,200
Speaker 1: special someone in your life. We also have framed original

397
00:23:55,400 --> 00:23:58,760
Speaker 1: art by one of my favorite wildlife artists, Jamie Carmody.

398
00:23:59,720 --> 00:24:02,080
Speaker 1: Oh she does like you should go look on her

399
00:24:02,480 --> 00:24:07,320
Speaker 1: phil pull up her Instagram deal. It's unbelievable her work.

400
00:24:08,320 --> 00:24:10,400
Speaker 1: I was trying to get her. She she didn't want him,

401
00:24:10,440 --> 00:24:12,040
Speaker 1: not being too happy with it, but I'm trying to

402
00:24:12,040 --> 00:24:13,760
Speaker 1: get I was trying to get her to have me

403
00:24:13,800 --> 00:24:20,439
Speaker 1: a painting of wolves that have disemboweled a bison but

404
00:24:20,520 --> 00:24:26,680
Speaker 1: it's still standing, but they're they're eating the entrails. Came

405
00:24:26,760 --> 00:24:30,040
Speaker 1: to me in a feverish dream and she's been working

406
00:24:30,080 --> 00:24:32,760
Speaker 1: on it but wasn't happy with it either way. We

407
00:24:32,880 --> 00:24:36,520
Speaker 1: have a painting of her of dogs banning up a

408
00:24:36,520 --> 00:24:39,760
Speaker 1: mountain lion, which is cool. It's it's like you just

409
00:24:39,760 --> 00:24:42,480
Speaker 1: gotta go look at it. You gotta go look at it.

410
00:24:42,480 --> 00:24:45,400
Speaker 1: It's an incredible painting. We have another meatcraft or knife

411
00:24:45,400 --> 00:24:47,960
Speaker 1: and as you know, these are like rare and hands

412
00:24:48,000 --> 00:24:49,880
Speaker 1: teeth now and sell for a bunch of money. Another

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00:24:49,920 --> 00:24:52,280
Speaker 1: meatcraft knife and the main thing. Here's the main draw.

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00:24:53,480 --> 00:24:59,320
Speaker 1: Everybody knows Season two of Doss Boat, which includes a

415
00:24:59,320 --> 00:25:05,280
Speaker 1: boat that my The boat is my childhood mentor, John Gary,

416
00:25:05,359 --> 00:25:09,800
Speaker 1: my childhood fishing mentor. John Gary, his boat, his nine

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00:25:10,119 --> 00:25:14,960
Speaker 1: seventy three StarCraft, which then became my family's boat and

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00:25:15,080 --> 00:25:19,600
Speaker 1: then became the Doss Boat Season two boats. But we

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00:25:19,720 --> 00:25:24,960
Speaker 1: got rid of John Gary's old horse, Evan Rude. And

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00:25:25,040 --> 00:25:28,520
Speaker 1: this boat has been paired with a Honda, a brand

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00:25:28,640 --> 00:25:35,560
Speaker 1: spicketty new Honda four stroke forty all kinds of add on,

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00:25:35,800 --> 00:25:40,080
Speaker 1: all kinds of customization. You can go sign up right now,

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00:25:40,240 --> 00:25:42,439
Speaker 1: go to the auction house of bodies. You don't need

424
00:25:42,440 --> 00:25:44,720
Speaker 1: to buy anything, but you can just sign up for free.

425
00:25:45,400 --> 00:25:49,280
Speaker 1: And we're gonna give that boat away. So that's John

426
00:25:49,320 --> 00:25:52,600
Speaker 1: Gary Slash, my old fishing boat paired with a brand

427
00:25:52,600 --> 00:25:58,080
Speaker 1: new forty horse four stroke Conda. It's a sweet boat.

428
00:25:59,080 --> 00:26:07,280
Speaker 1: Everything on it's it's old, but like read one, that's

429
00:26:07,280 --> 00:26:11,560
Speaker 1: a giveaway. Here's here, let me get you some behind

430
00:26:11,600 --> 00:26:14,159
Speaker 1: the scenes. What it does is it drives traffic to

431
00:26:14,200 --> 00:26:18,080
Speaker 1: the arms about it. We want to auction off and

432
00:26:18,080 --> 00:26:19,560
Speaker 1: that would have been a high ticket item, but we

433
00:26:19,600 --> 00:26:22,120
Speaker 1: thought it'd be like not fair to people that can't

434
00:26:22,160 --> 00:26:26,160
Speaker 1: get in on the bidden because of like whatever financial constraints. Um,

435
00:26:26,400 --> 00:26:31,359
Speaker 1: this way, you just go win the damn boat. To

436
00:26:31,600 --> 00:26:35,960
Speaker 1: come back to her arts, Jamie underscore wild art. Everybody

437
00:26:36,080 --> 00:26:40,280
Speaker 1: doesn't wild. He doesn't underscore. It's it's you look at

438
00:26:40,320 --> 00:26:42,440
Speaker 1: the top about with those pictures of hunting dogs. Yeah,

439
00:26:42,480 --> 00:26:45,639
Speaker 1: they're pretty sweet. It's unbelievable. Yeah, it's pretty cool stuff.

440
00:26:45,840 --> 00:26:48,399
Speaker 1: She's got one here with a mallard that I'm a

441
00:26:48,440 --> 00:26:54,040
Speaker 1: fan of. Ye, it's unbelievable looking. She's cool. Uh, piece

442
00:26:54,040 --> 00:26:57,840
Speaker 1: of feedback. We hadd on Paul Lewis from f h

443
00:26:57,880 --> 00:27:00,920
Speaker 1: F Gear, who is a retired police officer, and we

444
00:27:00,920 --> 00:27:03,160
Speaker 1: were trying to do a segment with Paul like called

445
00:27:03,200 --> 00:27:07,320
Speaker 1: ask cop because like weird stuff cops do. You could

446
00:27:07,320 --> 00:27:09,240
Speaker 1: ask like he's retired, he has got no skin in

447
00:27:09,280 --> 00:27:11,159
Speaker 1: the game anymore. You could be like, why do you

448
00:27:11,160 --> 00:27:16,920
Speaker 1: guys always right, yeah, do whatever they do. So we're

449
00:27:16,960 --> 00:27:21,480
Speaker 1: like asking Paul, why do you guys tend to all

450
00:27:21,520 --> 00:27:24,600
Speaker 1: of a sudden decided to turn on your lights and

451
00:27:24,720 --> 00:27:28,080
Speaker 1: scirt down the road and then turn him back off again.

452
00:27:29,680 --> 00:27:34,440
Speaker 1: You know that's the thing they do. Well. A cop

453
00:27:34,480 --> 00:27:37,840
Speaker 1: from Cheyenne, Wyoming rode in and he said, I was

454
00:27:38,000 --> 00:27:44,600
Speaker 1: This is to quote him. I was shocked, shocked to

455
00:27:44,680 --> 00:27:47,400
Speaker 1: hear Paul describe the use of light sirens to get

456
00:27:47,400 --> 00:27:53,080
Speaker 1: back to the office. He recognizes that Paul was joking, perhaps,

457
00:27:54,119 --> 00:27:56,639
Speaker 1: but this is a thing that he really wanted to

458
00:27:57,520 --> 00:27:59,960
Speaker 1: a myth that he wanted to dispel. He's a fire

459
00:28:00,119 --> 00:28:05,560
Speaker 1: fighter Cheyenne, Wyoming. He's in the officer seat, meaning he's

460
00:28:05,640 --> 00:28:09,200
Speaker 1: in control of the lights sirens on the fire truck.

461
00:28:09,640 --> 00:28:13,480
Speaker 1: He's very aware of public perception of this very activity

462
00:28:13,520 --> 00:28:17,119
Speaker 1: and it always bothers me. He calls it running emergent

463
00:28:17,320 --> 00:28:21,080
Speaker 1: and then shutting off lights sirens prior to making it unseen.

464
00:28:22,760 --> 00:28:26,840
Speaker 1: He says, upper case never, so like a Trumpian use

465
00:28:26,880 --> 00:28:31,760
Speaker 1: of upper case, we would upper case never use an

466
00:28:31,840 --> 00:28:35,719
Speaker 1: emergent response to get back to the station, to get dinner,

467
00:28:36,119 --> 00:28:40,000
Speaker 1: to get to the bathroom, or any other non emergency.

468
00:28:40,080 --> 00:28:43,800
Speaker 1: You could get fired for doing that, and not only

469
00:28:43,840 --> 00:28:47,400
Speaker 1: it's an inherent danger to ourselves and the public. Here's

470
00:28:47,440 --> 00:28:52,120
Speaker 1: what he says happens. Someone calls, holy sh it, much

471
00:28:52,120 --> 00:28:56,800
Speaker 1: smoke coming out of the neighbor's window. Okay. The first

472
00:28:56,840 --> 00:29:01,360
Speaker 1: information you have is there's an emergency situation. You respond accordingly.

473
00:29:02,400 --> 00:29:07,680
Speaker 1: Then it's often followed up by the dispatcher cooking, incident

474
00:29:07,880 --> 00:29:16,400
Speaker 1: under control, shut the lightstone or car crash. Okay, emergency.

475
00:29:16,520 --> 00:29:21,040
Speaker 1: Then it follows up it's minor. You're still going, but

476
00:29:21,120 --> 00:29:27,040
Speaker 1: it's not worth mm hmm. All the pomp and circumstance, says,

477
00:29:27,160 --> 00:29:33,120
Speaker 1: that's why we we trigger turn the shift on. Information

478
00:29:33,160 --> 00:29:36,240
Speaker 1: continues to feed in, is determined that it's non emergency,

479
00:29:36,360 --> 00:29:41,240
Speaker 1: you shut it off, and that's why that's happening. This

480
00:29:41,280 --> 00:29:45,320
Speaker 1: guy hates when this occurs. Oh you gotta feel. But

481
00:29:45,440 --> 00:29:51,960
Speaker 1: then listen goes on because Paul from f HF has

482
00:29:52,000 --> 00:29:55,200
Speaker 1: a response, current arranged response. So now we have a debate.

483
00:29:55,880 --> 00:29:58,320
Speaker 1: Paul says, I would agree with him and that this

484
00:29:58,400 --> 00:30:01,400
Speaker 1: is something that would not be looked at favorably by

485
00:30:01,440 --> 00:30:06,560
Speaker 1: the public or administration. Certainly not something we'd stand for normally.

486
00:30:06,600 --> 00:30:09,360
Speaker 1: And I was trying to add a little humor. It's

487
00:30:09,360 --> 00:30:13,080
Speaker 1: something that we joke about, but really not do. That's said.

488
00:30:13,440 --> 00:30:18,080
Speaker 1: That's said. I saw a bathroom emergency happened once in

489
00:30:18,120 --> 00:30:20,560
Speaker 1: the middle of the night after leaving a standoff with

490
00:30:20,640 --> 00:30:24,880
Speaker 1: a guy with a gun ten years ago. Times have changed,

491
00:30:26,200 --> 00:30:30,720
Speaker 1: but he does he does. Uh, he does concede point

492
00:30:30,840 --> 00:30:35,200
Speaker 1: nine percent of the time. It's because of changing circumstances

493
00:30:35,240 --> 00:30:39,160
Speaker 1: from the collar. Now, here's another interesting deal. When we

494
00:30:39,240 --> 00:30:44,239
Speaker 1: are and talking about antelope hunting and and we have

495
00:30:44,280 --> 00:30:47,760
Speaker 1: an antelope hunting episode up on Netflix right now, and

496
00:30:47,760 --> 00:30:52,920
Speaker 1: then it we use a game bag. Yeah, we use

497
00:30:52,960 --> 00:30:55,160
Speaker 1: a game bag on a like a I can't remember

498
00:30:55,200 --> 00:30:57,240
Speaker 1: putting on a tripod or gun barrel. We can put

499
00:30:57,280 --> 00:31:00,040
Speaker 1: on the barrel my rifle and waving the wind and

500
00:31:00,760 --> 00:31:04,840
Speaker 1: um to get an analop's attention. Now, I always felt

501
00:31:04,960 --> 00:31:09,640
Speaker 1: that the white mattered because like antelo burn blazoned with

502
00:31:09,680 --> 00:31:13,880
Speaker 1: a big white panel on their flank. And uh, it's

503
00:31:13,920 --> 00:31:18,080
Speaker 1: not for camouflage. It's for yeah, seeing each other out

504
00:31:18,080 --> 00:31:21,440
Speaker 1: in wide open you know, on wide open ground. But

505
00:31:21,480 --> 00:31:26,000
Speaker 1: this guy ran into this uh this historic account. So

506
00:31:27,120 --> 00:31:30,280
Speaker 1: there's a report, a report on an expedition down the

507
00:31:30,360 --> 00:31:35,280
Speaker 1: Zuni in Colorado Rivers by Lorenzo Sill Grieves in eighteen

508
00:31:35,440 --> 00:31:41,960
Speaker 1: fifty one, and the expedition had a naturalist assigned to

509
00:31:42,000 --> 00:31:46,640
Speaker 1: the expedition named S. W. Woodhouse. He talks about what

510
00:31:46,680 --> 00:31:48,560
Speaker 1: a pain and the acid is to get within rifle

511
00:31:48,720 --> 00:31:52,480
Speaker 1: range of Ani back in efty one. They see it

512
00:31:52,560 --> 00:31:54,560
Speaker 1: coming and they book off, and these guys are, you know,

513
00:31:54,600 --> 00:31:57,840
Speaker 1: shooting at that point in time. These guys are shooting, uh,

514
00:31:57,880 --> 00:32:00,840
Speaker 1: you know, muzzleloading rifles. But the way he can't get in,

515
00:32:01,200 --> 00:32:03,360
Speaker 1: And he said the hunters would just tie a red

516
00:32:03,400 --> 00:32:09,000
Speaker 1: handkerchief to a stick and creep through the grass holding

517
00:32:09,000 --> 00:32:12,040
Speaker 1: the red handkerchief up on a stick. And he said

518
00:32:12,080 --> 00:32:14,840
Speaker 1: that would inspire a lot of curiosity on the thing,

519
00:32:15,680 --> 00:32:18,160
Speaker 1: or it even come near so that a little bit

520
00:32:18,200 --> 00:32:23,560
Speaker 1: undoes my whole white thing. Yeah, why does it need

521
00:32:23,600 --> 00:32:26,280
Speaker 1: to be red? I think that he thinks the bloody

522
00:32:26,320 --> 00:32:30,160
Speaker 1: antelope is coming and he's like, why is that antelope

523
00:32:30,240 --> 00:32:34,320
Speaker 1: so drenched in blood? Does he need help? No? I

524
00:32:34,320 --> 00:32:37,080
Speaker 1: don't know. I think you can see it? What's that?

525
00:32:37,240 --> 00:32:40,720
Speaker 1: Can they see the difference? I don't. I don't know

526
00:32:40,840 --> 00:32:44,320
Speaker 1: enough between a red and a white? Well, I mean

527
00:32:44,320 --> 00:32:48,000
Speaker 1: they could. Is it that much of a difference and

528
00:32:48,240 --> 00:32:50,280
Speaker 1: through an antelope's eyes that it would be like, oh,

529
00:32:50,320 --> 00:32:52,720
Speaker 1: I'm gonna go there because it's red not white, or

530
00:32:52,760 --> 00:32:55,640
Speaker 1: white not red. Well, here's the deal. I thought the

531
00:32:55,720 --> 00:32:58,920
Speaker 1: white because because it matches the neck, because it was

532
00:32:59,000 --> 00:33:04,080
Speaker 1: like he's seeing right now, I believe or maybe I

533
00:33:04,080 --> 00:33:06,840
Speaker 1: don't know that. Maybe this guy I don't know enough

534
00:33:06,880 --> 00:33:11,040
Speaker 1: about Francis Wharton and who's this other hoser? No, that's

535
00:33:11,080 --> 00:33:14,720
Speaker 1: not him, Francis Warton, that's listen. You won't believe Francis Warton,

536
00:33:15,120 --> 00:33:19,560
Speaker 1: s W. Woodhouse in Lorenzo sit Graves, I don't know.

537
00:33:20,880 --> 00:33:24,720
Speaker 1: They sound like trustworthy names. Do you feel if you

538
00:33:24,720 --> 00:33:26,680
Speaker 1: can judge them by that? I think I think it's weird,

539
00:33:26,720 --> 00:33:29,960
Speaker 1: Like if let's say the antelope side his buddy all

540
00:33:29,960 --> 00:33:34,800
Speaker 1: bloodied up. I'm joking about the blood. Okay, I don't

541
00:33:34,840 --> 00:33:37,880
Speaker 1: think that he thinks it's a bloody antelope. I think

542
00:33:37,880 --> 00:33:40,480
Speaker 1: it's like, I think it's just curiosity stuff. But what's

543
00:33:40,480 --> 00:33:42,560
Speaker 1: funny is when you're reading historic stuff, these are the

544
00:33:42,640 --> 00:33:46,240
Speaker 1: kind of names everybody has. Lorenzo sit Greaves and s. W.

545
00:33:46,240 --> 00:33:51,560
Speaker 1: Woodhouse sound like dudes. Yeah, from expedition. Yeah, you can

546
00:33:51,560 --> 00:33:54,840
Speaker 1: hear those names in like a Ken Burns documentary, like

547
00:33:54,880 --> 00:33:56,479
Speaker 1: we would never be sitting here, and I would never

548
00:33:56,520 --> 00:33:58,520
Speaker 1: be like I'm sitting here with that S. W. Woodhouse.

549
00:33:59,200 --> 00:34:01,239
Speaker 1: It's just because you don't he's dead or can't come

550
00:34:01,280 --> 00:34:14,600
Speaker 1: on the show. This next story is super interesting. I

551
00:34:14,640 --> 00:34:18,600
Speaker 1: don't know how we never heard about this before. Canadian

552
00:34:18,600 --> 00:34:21,279
Speaker 1: guy wrote in, because we're probably talking about stuff to

553
00:34:21,280 --> 00:34:23,480
Speaker 1: do with bones and whatnot, you know, like making like

554
00:34:23,520 --> 00:34:25,480
Speaker 1: truck shifters out of your own hip joint when you

555
00:34:25,480 --> 00:34:29,680
Speaker 1: get your leg amputated. Well, this guy is sending about

556
00:34:29,680 --> 00:34:31,800
Speaker 1: this dude named Francis Wharton, who also sounds like a

557
00:34:31,880 --> 00:34:35,560
Speaker 1: guy to be dead for a while now. He was

558
00:34:35,640 --> 00:34:38,640
Speaker 1: at Little Fort, British Columbia in the fifties and sixties.

559
00:34:39,680 --> 00:34:44,319
Speaker 1: Missing all his teeth, couldn't eat meat anymore. He goes

560
00:34:44,360 --> 00:34:48,920
Speaker 1: out and kills a deer and then ends up eating

561
00:34:49,120 --> 00:34:54,879
Speaker 1: the deer with the deer's own teeth. Made a pair

562
00:34:54,960 --> 00:34:59,520
Speaker 1: of dentures out of the deer's teeth. I'm curious and

563
00:34:59,800 --> 00:35:02,600
Speaker 1: ate the deer with those deer's teeth. I'm curious how

564
00:35:02,719 --> 00:35:05,440
Speaker 1: quick he made those dentures. That's the part. But I

565
00:35:05,480 --> 00:35:09,799
Speaker 1: don't understand. That's where I smell a fish. I think

566
00:35:09,840 --> 00:35:14,120
Speaker 1: he might have eight The next year. But I don't

567
00:35:14,120 --> 00:35:16,040
Speaker 1: mean to take away because there's a photo of this

568
00:35:16,080 --> 00:35:17,640
Speaker 1: guy and when you look at him, he's kind of

569
00:35:17,640 --> 00:35:20,080
Speaker 1: got his half smile, he's got what you might call

570
00:35:20,120 --> 00:35:24,279
Speaker 1: his ship eating grin. And you could tell something's not

571
00:35:24,520 --> 00:35:28,200
Speaker 1: quite right with his teeth. Right, would you look at

572
00:35:28,239 --> 00:35:30,520
Speaker 1: me like there's something not quite right with his teeth.

573
00:35:30,520 --> 00:35:33,080
Speaker 1: It looks like someone took a file to him. He

574
00:35:33,800 --> 00:35:36,759
Speaker 1: but listen, you can go to a museum and see

575
00:35:36,760 --> 00:35:41,600
Speaker 1: the guy's damn teeth. He made a full upper denture

576
00:35:42,560 --> 00:35:45,040
Speaker 1: out of a deer's teeth. The collections manager at the

577
00:35:45,120 --> 00:35:50,040
Speaker 1: Museum of Healthcare and Kingston has the teeth on display,

578
00:35:51,600 --> 00:35:54,280
Speaker 1: filed him down, put him into a base of wood,

579
00:35:54,360 --> 00:36:02,160
Speaker 1: plastic and household cement warm for three years. They describe

580
00:36:02,239 --> 00:36:04,520
Speaker 1: him as kind of loose, kind of dark and dirty.

581
00:36:06,000 --> 00:36:12,360
Speaker 1: He must use a lot of polydon. It's a great idea.

582
00:36:12,840 --> 00:36:17,240
Speaker 1: It's impressive. I feel like eating meat with him hadn't

583
00:36:17,280 --> 00:36:21,320
Speaker 1: been kind of challenging to his deer teeth aren't naturally

584
00:36:22,239 --> 00:36:25,879
Speaker 1: like deer don't eat meat, you know. And and these

585
00:36:25,880 --> 00:36:28,480
Speaker 1: are to be clear, he had to kill he had

586
00:36:28,520 --> 00:36:32,040
Speaker 1: more than one deer's where the teeth in there because

587
00:36:32,080 --> 00:36:36,239
Speaker 1: these are just the incisors. Mm hmm. Right, he's got

588
00:36:36,239 --> 00:36:40,799
Speaker 1: like a whole row of incisors. Look at the set

589
00:36:40,800 --> 00:36:46,839
Speaker 1: of those dentures, pretty wild looking. Yeah, you just kind

590
00:36:46,840 --> 00:36:55,000
Speaker 1: of have to know it. Wow, that's great. I like

591
00:36:55,120 --> 00:36:57,440
Speaker 1: hearing that there's a place called the Museum of Healthcare.

592
00:36:58,239 --> 00:37:00,520
Speaker 1: Is that something you do? You get, you get like

593
00:37:00,520 --> 00:37:02,960
Speaker 1: satisfaction And that's sort of like if you want to

594
00:37:03,000 --> 00:37:07,120
Speaker 1: call it poetry whatever of I of him eating the

595
00:37:07,200 --> 00:37:10,560
Speaker 1: dear meat with the deer's own teeth, because to me,

596
00:37:10,600 --> 00:37:13,439
Speaker 1: that just makes me roll my eyes a little bit. Yeah,

597
00:37:13,440 --> 00:37:16,240
Speaker 1: I like the poetry of it. There's something that speaks

598
00:37:16,239 --> 00:37:18,839
Speaker 1: to you, like, uh, there's something kind of writer early

599
00:37:18,920 --> 00:37:21,239
Speaker 1: that speaks to you. But then also, what's my you know,

600
00:37:21,320 --> 00:37:30,000
Speaker 1: my favorite quote, right, uh? Brevity, No, skepticism, skeptics. Skepticism

601
00:37:30,280 --> 00:37:34,319
Speaker 1: is the chastity of the Indian. So when I hear it,

602
00:37:34,840 --> 00:37:39,000
Speaker 1: I need to go to a skeptical place. Which my

603
00:37:39,200 --> 00:37:44,480
Speaker 1: skepticism drives my kid bananas because everything he tells me,

604
00:37:45,719 --> 00:37:49,839
Speaker 1: because probably here's the thing with kids, they they mess

605
00:37:49,920 --> 00:37:52,600
Speaker 1: up every YouTube video they see. Oh yeah, I know,

606
00:37:53,320 --> 00:37:55,040
Speaker 1: like I was watching the video about it. Guys, mean

607
00:37:55,040 --> 00:37:57,560
Speaker 1: it's like Mr Money and he always finds envelopes and

608
00:37:57,640 --> 00:37:59,600
Speaker 1: every envelope he finds has a million dollars in it.

609
00:38:02,080 --> 00:38:04,359
Speaker 1: And I'm like, well, hold on a minute. You know

610
00:38:06,360 --> 00:38:09,120
Speaker 1: only at person only half listening anyway, So here people

611
00:38:09,200 --> 00:38:12,040
Speaker 1: describe YouTube videos to me and then alsoden you get

612
00:38:12,080 --> 00:38:14,160
Speaker 1: to the end, I'm like, homett what you know? Then

613
00:38:14,160 --> 00:38:17,040
Speaker 1: he gets piste like you don't believe me. It's like, no,

614
00:38:17,840 --> 00:38:20,680
Speaker 1: so that don't believe you, buddy, I think you're messing

615
00:38:20,760 --> 00:38:24,080
Speaker 1: up with the videos about drives me notes. I need

616
00:38:24,120 --> 00:38:27,480
Speaker 1: to find more envelopes. Oh yeah, it's like everything like

617
00:38:28,120 --> 00:38:31,960
Speaker 1: I don't like a watching YouTube. Uh. And you might

618
00:38:32,000 --> 00:38:33,640
Speaker 1: think it's because like I'm trying to protect your kids

619
00:38:33,640 --> 00:38:35,720
Speaker 1: from the world and all that. It's because they mess

620
00:38:35,800 --> 00:38:39,719
Speaker 1: up every YouTube video they see. It makes me so

621
00:38:39,719 --> 00:38:42,520
Speaker 1: so worried to act because I feel like I kind

622
00:38:42,520 --> 00:38:46,040
Speaker 1: of grew up with the internet a little bit like

623
00:38:46,160 --> 00:38:48,799
Speaker 1: product was that that like perfect age range where I

624
00:38:48,840 --> 00:38:50,960
Speaker 1: can kind of tell when something is like a scam

625
00:38:51,040 --> 00:38:53,000
Speaker 1: or not real or like these pop up like this

626
00:38:53,120 --> 00:38:54,840
Speaker 1: is all I can I can just point it out.

627
00:38:54,960 --> 00:38:57,400
Speaker 1: And I'm so scared of putting my kids on the

628
00:38:57,400 --> 00:38:59,759
Speaker 1: internet because they're just gonna be thrown into the deep

629
00:38:59,840 --> 00:39:02,759
Speaker 1: end and have no idea what's what to do? No,

630
00:39:02,840 --> 00:39:06,400
Speaker 1: they have no idea. He'll because he likes to hunt,

631
00:39:06,960 --> 00:39:10,960
Speaker 1: so he'll be watching he's watching hunting videos. Oh my god,

632
00:39:11,040 --> 00:39:15,319
Speaker 1: like just the mona. So there's like settings you can

633
00:39:15,400 --> 00:39:18,120
Speaker 1: use on YouTube for kids to use that. I should

634
00:39:19,000 --> 00:39:22,200
Speaker 1: well it prevents like, oh you might also like you know,

635
00:39:22,239 --> 00:39:25,719
Speaker 1: and then they go down up crazy as exactly. Here's

636
00:39:25,760 --> 00:39:27,480
Speaker 1: a good story. Guy wrote it in about some adults

637
00:39:27,480 --> 00:39:30,120
Speaker 1: could use that too. Yeah, oh yeah, you know what,

638
00:39:30,200 --> 00:39:31,640
Speaker 1: there should be a setting you could go into your

639
00:39:31,680 --> 00:39:35,239
Speaker 1: if your friends kind of a dumbass should go and

640
00:39:35,360 --> 00:39:38,279
Speaker 1: do like a setting that he doesn't know about that

641
00:39:38,320 --> 00:39:41,960
Speaker 1: protects him. Yeah, that protects him from stuff he's not

642
00:39:42,000 --> 00:39:47,719
Speaker 1: gonna be able to apply skepticism too, Like like a

643
00:39:47,760 --> 00:39:52,080
Speaker 1: little sliding bar of you can turn up or down

644
00:39:52,080 --> 00:39:54,920
Speaker 1: how skeptical the person is. And if your buddy's like

645
00:39:54,960 --> 00:39:59,719
Speaker 1: not skeptical, he's go slide that bar way down and

646
00:39:59,760 --> 00:40:02,840
Speaker 1: it'll he serves them like very plausible fact check material.

647
00:40:03,320 --> 00:40:07,680
Speaker 1: There you go. Fire no more million dollar envelopes for Max.

648
00:40:09,480 --> 00:40:11,440
Speaker 1: A guy from Minnesota rolled in with a great trapping

649
00:40:11,520 --> 00:40:15,680
Speaker 1: story from when he was thirteen, so he was outdoor

650
00:40:15,680 --> 00:40:19,600
Speaker 1: obsessed kid. He trapped mink, raccoon's beavers of a nearby

651
00:40:19,680 --> 00:40:26,400
Speaker 1: river and his uh old man, check this out. This

652
00:40:26,440 --> 00:40:29,920
Speaker 1: is where you gotta pay attention. His old man's a veterinarian.

653
00:40:30,560 --> 00:40:33,040
Speaker 1: Apparently I didn't know this would it makes sense. Veterinarians

654
00:40:33,080 --> 00:40:36,720
Speaker 1: have a carcass freezer for all the dead dogs and whatnot,

655
00:40:37,239 --> 00:40:42,879
Speaker 1: dead cats and dogs, okay, and because when they got

656
00:40:42,880 --> 00:40:45,239
Speaker 1: to euthanize a dog, they freeze it and then it

657
00:40:45,280 --> 00:40:50,120
Speaker 1: gets sent to the dog cremation place. Since they had

658
00:40:50,120 --> 00:40:53,040
Speaker 1: the big freezer, he would store his trapped animals in there,

659
00:40:53,040 --> 00:40:55,759
Speaker 1: waiting to skin them, or waiting he would bring him

660
00:40:55,800 --> 00:40:58,200
Speaker 1: in like if he would sell them. Uh, he would

661
00:40:58,239 --> 00:41:00,759
Speaker 1: sell some of us fur in the round owned it's

662
00:41:01,000 --> 00:41:05,160
Speaker 1: for a trapping term. He one time goes down to

663
00:41:05,200 --> 00:41:08,359
Speaker 1: the fur buyer and he's emptying all his bags out

664
00:41:09,440 --> 00:41:14,920
Speaker 1: and outcomes a miniature Schnauzer in place of his raccoon.

665
00:41:17,760 --> 00:41:21,600
Speaker 1: Got the bags swapped, goes back home and there is

666
00:41:21,640 --> 00:41:28,280
Speaker 1: no raccoon in that freezer. So someone he thinks someone

667
00:41:28,320 --> 00:41:34,080
Speaker 1: to this day has the creamines of their dog, but

668
00:41:34,160 --> 00:41:39,319
Speaker 1: in fact it's his raccoon probably sitting above the fireplace.

669
00:41:40,239 --> 00:41:46,040
Speaker 1: Never got it right the fur buyer's face when that, yeah,

670
00:41:46,080 --> 00:41:50,960
Speaker 1: I got up, came rolling out weird looking raccoon. Here's

671
00:41:50,960 --> 00:41:53,719
Speaker 1: another good thing that we found. Uh kran drugged us up.

672
00:41:54,640 --> 00:41:56,600
Speaker 1: You're talking about whether or not you should like like

673
00:41:57,120 --> 00:41:59,719
Speaker 1: not the morals of shooting collar dear. It's not a

674
00:41:59,760 --> 00:42:02,600
Speaker 1: more issues the esthetics of shooting a collar deer like

675
00:42:02,719 --> 00:42:07,080
Speaker 1: I would have and I've I've made this clear many occasions.

676
00:42:07,480 --> 00:42:09,920
Speaker 1: I would have a very hard time. Not not that

677
00:42:10,040 --> 00:42:11,640
Speaker 1: I wouldn't be able to do it. I couldn't do it.

678
00:42:12,239 --> 00:42:14,439
Speaker 1: Shoot a deer of the Colorado or whatever. The collar

679
00:42:14,520 --> 00:42:18,600
Speaker 1: on it just just to me because it feels um

680
00:42:18,640 --> 00:42:22,359
Speaker 1: tainted by the hands of man. And it brings up

681
00:42:22,360 --> 00:42:25,160
Speaker 1: the thing of why is a banded duck cool? To

682
00:42:25,239 --> 00:42:27,080
Speaker 1: which I just like, I don't know. I agree that

683
00:42:27,120 --> 00:42:30,600
Speaker 1: they're cool, but I can't explain it. I can't explain it.

684
00:42:32,800 --> 00:42:35,399
Speaker 1: But a collar deer is not cool. But this guy

685
00:42:35,520 --> 00:42:39,640
Speaker 1: got himself a doe not only with the collar, but

686
00:42:39,800 --> 00:42:44,880
Speaker 1: two ear tags, and got it mounted ear tags and

687
00:42:44,960 --> 00:42:49,320
Speaker 1: collar and a little radio and oh yeah, full on

688
00:42:49,440 --> 00:42:52,719
Speaker 1: mountain on his wall. I grew up near the U

689
00:42:52,880 --> 00:42:56,080
Speaker 1: s d A Clinic in Ames, Iowa. And you know,

690
00:42:56,120 --> 00:42:59,799
Speaker 1: they've got a whole penza deer outside ear tagged and

691
00:43:00,280 --> 00:43:04,560
Speaker 1: it looks like a runaway got their defense. Well no,

692
00:43:04,640 --> 00:43:07,280
Speaker 1: but it's got that collar. Yeah, of collars, the extra.

693
00:43:08,239 --> 00:43:10,360
Speaker 1: So the guy that shot the collared white tailed doe

694
00:43:10,880 --> 00:43:15,120
Speaker 1: was Roy Winnings of Illinois. He's he's got some hunting

695
00:43:15,239 --> 00:43:20,520
Speaker 1: land in Moultrie County and he watches dough trumpet around

696
00:43:20,560 --> 00:43:24,359
Speaker 1: on there for four years wearing a GPS track and collar.

697
00:43:25,840 --> 00:43:29,239
Speaker 1: Killed her in two thousand twelve. It appeared to him

698
00:43:29,280 --> 00:43:34,400
Speaker 1: that her health was declining. She'd been tagged by the

699
00:43:34,440 --> 00:43:40,480
Speaker 1: Southern Illinois University Carbondale near Shelbyville, nine miles away from

700
00:43:40,560 --> 00:43:43,640
Speaker 1: his land. Okay, so she made it nine miles to

701
00:43:43,719 --> 00:43:46,800
Speaker 1: his place. Turned out the dough was seven and a

702
00:43:46,840 --> 00:43:51,000
Speaker 1: half years old in two thousand nine, so three years

703
00:43:51,000 --> 00:43:54,719
Speaker 1: prior to her to him killing it, she had an

704
00:43:54,760 --> 00:43:59,480
Speaker 1: annual home range size of one six acres. That's pretty interesting.

705
00:44:00,560 --> 00:44:05,600
Speaker 1: It just does not seem that big at all when

706
00:44:05,640 --> 00:44:07,960
Speaker 1: you bump it and you think it's like, gone, yeah,

707
00:44:08,160 --> 00:44:13,480
Speaker 1: a square miles. When you bump her and you're like, oh,

708
00:44:13,520 --> 00:44:16,279
Speaker 1: it's like they don't go far. No, not at all,

709
00:44:17,400 --> 00:44:20,319
Speaker 1: but it's interesting that. But consider this too, though she

710
00:44:20,440 --> 00:44:24,080
Speaker 1: moved nine miles right, so she's running like an annual

711
00:44:24,120 --> 00:44:26,399
Speaker 1: home range of a hundred and six acres. But at

712
00:44:26,560 --> 00:44:29,839
Speaker 1: points of time, what Wasever was inspired to like move

713
00:44:30,200 --> 00:44:33,440
Speaker 1: nine miles to over the course? You think the human

714
00:44:33,520 --> 00:44:37,320
Speaker 1: handling could have been that two though, possibly, but I

715
00:44:37,360 --> 00:44:39,040
Speaker 1: don't think it's if you look at like I'm gonna

716
00:44:39,040 --> 00:44:41,280
Speaker 1: talk about this dude, Kevin Montieth for men who runs

717
00:44:41,280 --> 00:44:46,319
Speaker 1: all these these dear coloring projects and wyoming and they

718
00:44:46,520 --> 00:44:48,879
Speaker 1: act real normal and then they go do something weird

719
00:44:49,719 --> 00:44:53,040
Speaker 1: and then the agg you know, I shouldn't say at normal,

720
00:44:53,800 --> 00:44:55,719
Speaker 1: they're in a spot and then now and then for

721
00:44:55,760 --> 00:45:03,560
Speaker 1: whatever reason, they strike off. We were having on the show. Argument.

722
00:45:04,040 --> 00:45:06,920
Speaker 1: That was an argument Jason Phelps and Phelps game calls

723
00:45:08,160 --> 00:45:12,120
Speaker 1: I've been laying out for him the emergent thinking that

724
00:45:12,960 --> 00:45:21,359
Speaker 1: UM nutrition is more important to antler growth than genetics. Yeah,

725
00:45:21,360 --> 00:45:23,440
Speaker 1: because Phelps is still like the old like, oh that

726
00:45:23,480 --> 00:45:26,000
Speaker 1: area's got good genetics, that area doesn't have good genetics,

727
00:45:27,520 --> 00:45:34,120
Speaker 1: And researchers are turning up that like nutrition UM not

728
00:45:34,239 --> 00:45:36,879
Speaker 1: only is it perhaps more important but it's more controllable

729
00:45:37,200 --> 00:45:40,960
Speaker 1: if you look at herd size and habitat quality. And

730
00:45:41,880 --> 00:45:45,000
Speaker 1: we had Kevin montiethon to explain some of his work

731
00:45:45,160 --> 00:45:46,680
Speaker 1: a couple of years ago. But I want to recap

732
00:45:46,680 --> 00:45:48,720
Speaker 1: a little bit because where I'm having like a somewhat

733
00:45:49,360 --> 00:45:54,840
Speaker 1: spirited email exchange between Phelps and Kevin Monteith from University

734
00:45:54,840 --> 00:45:59,200
Speaker 1: of Wyoming and trying to convince Phelps of what we're saying.

735
00:46:00,560 --> 00:46:03,800
Speaker 1: And I'm gonna refer back to something that Monteth discussed

736
00:46:03,800 --> 00:46:05,560
Speaker 1: when he was on the podcast a couple of years ago.

737
00:46:06,719 --> 00:46:11,399
Speaker 1: They took white tails from the Black Hills and from

738
00:46:11,480 --> 00:46:15,520
Speaker 1: eastern South Dakota, so you have go ahead. They actually

739
00:46:15,560 --> 00:46:19,600
Speaker 1: put them. That was at South Dakota State where they

740
00:46:19,640 --> 00:46:23,720
Speaker 1: moved to live. So they're taking white tails from a

741
00:46:23,800 --> 00:46:31,359
Speaker 1: piss poor uh genetics area, Black Hills, and they're taking

742
00:46:31,400 --> 00:46:36,160
Speaker 1: white tails from a good genetics area eastern South Dakota, right,

743
00:46:37,080 --> 00:46:39,520
Speaker 1: And they're saying, Okay, so suppose they got this whole

744
00:46:39,520 --> 00:46:44,440
Speaker 1: genetics thing and they bring them into captivity and have

745
00:46:44,560 --> 00:46:48,160
Speaker 1: them raised fawns under identical conditions. So here you have

746
00:46:48,760 --> 00:46:52,319
Speaker 1: the good genetics, dear, the bad genetics. Dear, you keep

747
00:46:52,360 --> 00:46:55,560
Speaker 1: them separated. So you got the same males and females

748
00:46:55,640 --> 00:46:59,359
Speaker 1: from the genetics area, but everybody's eating the same ship

749
00:46:59,600 --> 00:47:04,000
Speaker 1: in the same in place. Okay. Now what they find

750
00:47:04,000 --> 00:47:06,759
Speaker 1: when they do this as they raise these fawns under

751
00:47:06,760 --> 00:47:12,280
Speaker 1: identical conditions, the deer are radically different sizes as adults

752
00:47:12,280 --> 00:47:16,759
Speaker 1: when they're brought there. Okay, but they're only bred within

753
00:47:16,800 --> 00:47:23,640
Speaker 1: their respective regions of origins. Now, the male fawns made

754
00:47:23,719 --> 00:47:26,840
Speaker 1: up for more than seventy of the difference in size

755
00:47:27,200 --> 00:47:31,560
Speaker 1: that originated between the two regions, So already just the

756
00:47:31,719 --> 00:47:37,359
Speaker 1: first batch of fawns makes up sevent the difference under

757
00:47:37,920 --> 00:47:41,840
Speaker 1: similar circumstances. The reason it didn't do it all the

758
00:47:41,880 --> 00:47:48,680
Speaker 1: way is because the in utero effects of it still

759
00:47:48,719 --> 00:47:54,680
Speaker 1: haven't been born out, Meaning a box potential is in

760
00:47:54,760 --> 00:47:58,719
Speaker 1: some ways decided by the condition that the dough is

761
00:47:58,760 --> 00:48:02,440
Speaker 1: in when she becomes ms pregnant. Yeah, like the in

762
00:48:02,719 --> 00:48:08,000
Speaker 1: utero conditions that that thing will hit the ground with

763
00:48:08,120 --> 00:48:13,319
Speaker 1: its fate already sealed based on as the condition its

764
00:48:13,360 --> 00:48:15,920
Speaker 1: mother as she lactated, in the condition that the mother's

765
00:48:15,960 --> 00:48:20,440
Speaker 1: in as she like developed. The fetus goes on to

766
00:48:20,480 --> 00:48:23,960
Speaker 1: talk about, well, some areas w where you have different

767
00:48:24,000 --> 00:48:27,239
Speaker 1: stuff you could have. They got deer where they have.

768
00:48:27,840 --> 00:48:30,239
Speaker 1: There's a dough that has a very good year, and

769
00:48:30,320 --> 00:48:34,480
Speaker 1: she puts off a total slob of a buck, But

770
00:48:34,600 --> 00:48:39,440
Speaker 1: it takes five years for that buck to reach maturity.

771
00:48:39,640 --> 00:48:42,160
Speaker 1: But what's gonna happen in five years has already been

772
00:48:42,160 --> 00:48:44,960
Speaker 1: determined by what happened in her belly. So she could

773
00:48:45,000 --> 00:48:47,000
Speaker 1: have a bad year and put off a buck that

774
00:48:47,040 --> 00:48:50,120
Speaker 1: will never develop into anything five years down the road.

775
00:48:51,200 --> 00:48:53,200
Speaker 1: The next year gonna have a great year and put

776
00:48:53,200 --> 00:48:55,120
Speaker 1: off a buck that will turn into a tanker in

777
00:48:55,200 --> 00:48:58,080
Speaker 1: five years. But you're not seeing the results of that

778
00:48:58,160 --> 00:49:03,160
Speaker 1: for such a enormously long time. They had a a

779
00:49:03,239 --> 00:49:06,840
Speaker 1: buck that was born in two thousand and seventeen following

780
00:49:06,880 --> 00:49:09,400
Speaker 1: a winner in which his mom nearly died of starvation,

781
00:49:10,280 --> 00:49:14,160
Speaker 1: but she pulled through and raised both him and his sister.

782
00:49:15,640 --> 00:49:20,600
Speaker 1: He bore the consequences of that experience, that prenatal experience.

783
00:49:21,600 --> 00:49:24,759
Speaker 1: He bore it for the rest of his life. When

784
00:49:24,800 --> 00:49:28,160
Speaker 1: he was a two year old, he had a tiny

785
00:49:28,239 --> 00:49:32,560
Speaker 1: forky antlers that anyone would have said without question he

786
00:49:32,600 --> 00:49:36,200
Speaker 1: was a yearly. As a three year old, he was

787
00:49:36,239 --> 00:49:40,319
Speaker 1: the size of a small two year old. People are

788
00:49:40,440 --> 00:49:44,000
Speaker 1: looked and said, oh, he had bad genetics. Monty said,

789
00:49:44,040 --> 00:49:47,560
Speaker 1: it's crap. He had a mom that was barely surviving

790
00:49:47,640 --> 00:49:50,799
Speaker 1: and did not have adequate nutrition to give him the

791
00:49:50,840 --> 00:49:55,800
Speaker 1: silver spoon and instead passed on a negative maternal effect

792
00:49:55,920 --> 00:49:58,160
Speaker 1: that this male will never be able to pull out

793
00:49:58,200 --> 00:50:01,680
Speaker 1: of for his life. He goes on to bring up

794
00:50:01,680 --> 00:50:05,239
Speaker 1: this thing, he will never be able to express his

795
00:50:05,320 --> 00:50:10,400
Speaker 1: genetic potential, meaning genetically he might have the potential to

796
00:50:10,400 --> 00:50:14,120
Speaker 1: have big antlers, but he just can't and won't. It's

797
00:50:14,160 --> 00:50:19,040
Speaker 1: called the cohort effect, where in males born in some

798
00:50:19,160 --> 00:50:22,760
Speaker 1: years on average have larger or smaller antlers than those

799
00:50:22,800 --> 00:50:26,000
Speaker 1: born in other years, even if they are harvested at

800
00:50:26,040 --> 00:50:29,279
Speaker 1: the same age and live in the same places. It

801
00:50:29,360 --> 00:50:33,040
Speaker 1: comes down to what mom was able to do for them.

802
00:50:33,080 --> 00:50:38,400
Speaker 1: Even more nuanced is each female within each year. Maybe

803
00:50:38,440 --> 00:50:42,799
Speaker 1: mom raised twin. I'm I'm reading Monty's own email right now.

804
00:50:43,880 --> 00:50:47,560
Speaker 1: Maybe mom raised twins one year and paid the price

805
00:50:47,640 --> 00:50:50,400
Speaker 1: for it, and goes into the next year in poorer

806
00:50:50,400 --> 00:50:54,279
Speaker 1: than average condition. She will have less to give than

807
00:50:54,320 --> 00:50:57,800
Speaker 1: the mom right next to her that lost her fawns

808
00:50:57,880 --> 00:51:00,719
Speaker 1: early the year before, and carry is a heap of

809
00:51:00,719 --> 00:51:05,200
Speaker 1: fat they are liable to produce males with different expressions

810
00:51:05,200 --> 00:51:10,560
Speaker 1: of potential. And Yep, there are also micro nuances in

811
00:51:10,600 --> 00:51:14,160
Speaker 1: the ranges they inhabit and the quality of the resources

812
00:51:14,200 --> 00:51:17,799
Speaker 1: they have access to. He goes on to say that

813
00:51:18,320 --> 00:51:21,000
Speaker 1: this this applies the horns, not his antlers, but it

814
00:51:21,040 --> 00:51:23,680
Speaker 1: brings up an interesting that deer hunter will always talk about.

815
00:51:24,440 --> 00:51:27,439
Speaker 1: They'll be like, it's a good antler growth year this year.

816
00:51:27,920 --> 00:51:32,400
Speaker 1: M right. You always hear that what you might be

817
00:51:32,440 --> 00:51:36,719
Speaker 1: seeing is you might be seeing that four years ago

818
00:51:39,040 --> 00:51:43,799
Speaker 1: was a great year. Mild winner, was a great year

819
00:51:43,840 --> 00:51:47,520
Speaker 1: for does, a great year for big healthy fat does.

820
00:51:48,280 --> 00:51:53,919
Speaker 1: That produced a batch of great box that are now

821
00:51:53,960 --> 00:51:58,000
Speaker 1: coming into maturity. And you're seeing a great antler year

822
00:51:58,520 --> 00:52:04,839
Speaker 1: as an expression of great times before. So we need

823
00:52:04,880 --> 00:52:06,239
Speaker 1: to as we talked about this, we need to point

824
00:52:06,239 --> 00:52:08,800
Speaker 1: out this difference the wildlife student. You'll be able that

825
00:52:08,840 --> 00:52:14,239
Speaker 1: you'll be able to track antlers. Of course, this as

826
00:52:14,239 --> 00:52:18,319
Speaker 1: I had to explain to my kids every week. Antlers

827
00:52:18,640 --> 00:52:23,000
Speaker 1: are a bony material that falls off every year. Different

828
00:52:23,040 --> 00:52:25,360
Speaker 1: like antlers and horns are different. Horns and animal carry

829
00:52:25,600 --> 00:52:28,520
Speaker 1: with the exception of the American prong horned horned animals

830
00:52:28,560 --> 00:52:31,880
Speaker 1: carry their horns their entire life. So they're looking at

831
00:52:31,920 --> 00:52:37,520
Speaker 1: a population of unhunted big horn sheet in the Sierra Nevadas.

832
00:52:39,360 --> 00:52:42,840
Speaker 1: They can explain over eighty per of the variation in

833
00:52:42,960 --> 00:52:47,279
Speaker 1: horn size of adult males just by knowing how fat

834
00:52:47,360 --> 00:52:52,400
Speaker 1: the moms were in those ranges. Sean's got his hand up,

835
00:52:52,680 --> 00:52:56,279
Speaker 1: not his hand up, but his hand open, open in

836
00:52:56,320 --> 00:53:00,680
Speaker 1: a very wonder It just makes me wonder how new

837
00:53:01,760 --> 00:53:06,239
Speaker 1: is all this knowledge? Because you've heard the genetics discussion

838
00:53:06,320 --> 00:53:10,440
Speaker 1: for so long, but it seems like, you know, mom's

839
00:53:10,480 --> 00:53:14,840
Speaker 1: being healthy. Is like with what Monteth's writing here, seems

840
00:53:15,040 --> 00:53:18,600
Speaker 1: that plays way so much more of a factor than genetics.

841
00:53:18,600 --> 00:53:21,440
Speaker 1: Why is genetics always been the discussion? I don't know,

842
00:53:21,480 --> 00:53:24,040
Speaker 1: but but here it's a great point. And it frustrates

843
00:53:24,120 --> 00:53:27,040
Speaker 1: him because one of the things he gets at is

844
00:53:27,760 --> 00:53:32,640
Speaker 1: if you're interested in heard health and and you accept

845
00:53:33,320 --> 00:53:37,200
Speaker 1: uh that and I think you should Courtney, what he's saying.

846
00:53:38,320 --> 00:53:41,279
Speaker 1: You look at me, like, why do big anglers matter? Right?

847
00:53:41,960 --> 00:53:43,640
Speaker 1: The cool you know whatever, the cool to look at,

848
00:53:43,680 --> 00:53:46,319
Speaker 1: cool to hang on the wall, you could look and

849
00:53:46,360 --> 00:53:48,920
Speaker 1: if you take this work like this work has implications

850
00:53:49,080 --> 00:53:51,320
Speaker 1: if it is this crazy genetic stuff, and he He

851
00:53:51,840 --> 00:53:55,319
Speaker 1: never denies that genetic like it's a thing. Yeah, but

852
00:53:55,320 --> 00:53:56,960
Speaker 1: it's the thing we can It's a thing that we

853
00:53:57,080 --> 00:54:02,640
Speaker 1: have no ability to influence or control. But he goes,

854
00:54:03,200 --> 00:54:08,239
Speaker 1: we can't absolutely control quality, not control. We can influence

855
00:54:08,840 --> 00:54:13,319
Speaker 1: quality of habitat. We can influence herd size. And if

856
00:54:13,360 --> 00:54:16,440
Speaker 1: you can say that, like and you not say you

857
00:54:16,440 --> 00:54:21,160
Speaker 1: can you show, demonstrate, prove the big antlers are a

858
00:54:21,200 --> 00:54:27,000
Speaker 1: function of habitat quality. Right, that winds up being a

859
00:54:27,080 --> 00:54:31,160
Speaker 1: thing that we can talk about and work toward and

860
00:54:31,280 --> 00:54:36,319
Speaker 1: measure and like apply the logic to the landscape of

861
00:54:36,480 --> 00:54:39,439
Speaker 1: how do we measure and demonstrate like a healthy herded here?

862
00:54:39,840 --> 00:54:45,399
Speaker 1: What's too many? What is how? Yeah? What is quality habitat? Right?

863
00:54:46,239 --> 00:54:49,399
Speaker 1: And if over time you see that areas that traditionally

864
00:54:50,719 --> 00:54:56,200
Speaker 1: we're producing big box and they don't anymore. Um, is

865
00:54:56,239 --> 00:54:59,040
Speaker 1: it that the genetics went to ship or is it

866
00:54:59,120 --> 00:55:02,680
Speaker 1: that we've degraded the habitat or we're not managing herd

867
00:55:02,719 --> 00:55:05,239
Speaker 1: size effectively. Do you think at some point those two

868
00:55:05,239 --> 00:55:07,680
Speaker 1: go hand in hand Over a long enough period of time,

869
00:55:08,040 --> 00:55:12,000
Speaker 1: like a line of white tails just were malnourished over

870
00:55:12,120 --> 00:55:15,640
Speaker 1: enough years, wouldn't that kind of lower their genetic potential. No,

871
00:55:15,760 --> 00:55:18,880
Speaker 1: because it has to be heritable. And Monty talks a

872
00:55:18,920 --> 00:55:21,560
Speaker 1: lot about like, when you talk about genetics, you have

873
00:55:21,640 --> 00:55:27,520
Speaker 1: to be talking about things that are heritable qualities. Okay, uh,

874
00:55:27,600 --> 00:55:29,759
Speaker 1: Remember we were talking with Cal. We're gonna touch on

875
00:55:29,760 --> 00:55:33,799
Speaker 1: this later. We're talking with Cal about people saying that

876
00:55:33,960 --> 00:55:40,360
Speaker 1: you're driving with rattlesnakes, that when you kill rattlesnakes that rattle,

877
00:55:42,160 --> 00:55:45,319
Speaker 1: you are making them more dangerous. You're making rattlesnakes more

878
00:55:45,400 --> 00:55:48,279
Speaker 1: dangerous because you're only leaving the ones that don't rattle. First,

879
00:55:49,600 --> 00:55:51,879
Speaker 1: heffle Finger rolled in about that. He goes, well, first,

880
00:55:51,920 --> 00:55:57,480
Speaker 1: you'd have to believe that it's tendency to rattle or

881
00:55:57,560 --> 00:56:03,359
Speaker 1: not is heritable, meaning that its tendency to rattle is

882
00:56:03,400 --> 00:56:07,680
Speaker 1: something that it inherits inherits from its mother or father,

883
00:56:08,640 --> 00:56:15,000
Speaker 1: rather than its tendency to rattle is based on conditions

884
00:56:15,400 --> 00:56:22,239
Speaker 1: time of year, air temperature, proximity of threat. Right that,

885
00:56:23,160 --> 00:56:25,200
Speaker 1: why do you think that it like got it from

886
00:56:25,239 --> 00:56:27,920
Speaker 1: its dad rather than it has to do with what

887
00:56:27,960 --> 00:56:32,200
Speaker 1: its physical circumstances are at the moment. So Montith gets

888
00:56:32,200 --> 00:56:34,560
Speaker 1: into this in this email chain we're having, he gets

889
00:56:34,560 --> 00:56:38,040
Speaker 1: into this idea of people saying you shot out the genetics.

890
00:56:39,760 --> 00:56:42,840
Speaker 1: They got overhunted, they shot all the big bucks and

891
00:56:42,840 --> 00:56:47,239
Speaker 1: now there's no big Bucks genetics to go around to this,

892
00:56:47,360 --> 00:56:52,160
Speaker 1: he says, quote crap. No, it's like hell no, ship. No,

893
00:56:52,360 --> 00:56:55,759
Speaker 1: I've never heard of crap. It's a few other words

894
00:56:56,000 --> 00:57:02,040
Speaker 1: that I've heard before. Crap thinks he's using the university.

895
00:57:02,120 --> 00:57:08,279
Speaker 1: Uh email deal here, mantape. You understand his position. Man,

896
00:57:09,200 --> 00:57:12,560
Speaker 1: He's a respect he's a respectable dude and knows what

897
00:57:12,800 --> 00:57:15,160
Speaker 1: you know. I like it. Yeah, he's know what he's doing.

898
00:57:16,280 --> 00:57:18,760
Speaker 1: He explains that it takes such an extreme level of

899
00:57:18,800 --> 00:57:25,240
Speaker 1: harvest intensity that is perfectly selective to achieve that. He says,

900
00:57:25,240 --> 00:57:27,320
Speaker 1: it's something we will never achieve in the real world.

901
00:57:28,680 --> 00:57:33,280
Speaker 1: He says, bighorn sheep again, a horned animal that has

902
00:57:33,400 --> 00:57:38,120
Speaker 1: very selective pressure on small populations, is the one place

903
00:57:38,600 --> 00:57:42,640
Speaker 1: you could perhaps achieve this, And he points to a

904
00:57:42,640 --> 00:57:45,760
Speaker 1: paper by a guy named Lachar which he attached to

905
00:57:45,840 --> 00:57:50,000
Speaker 1: be like, that's the thing you could potentially see, but

906
00:57:50,320 --> 00:57:57,280
Speaker 1: in the Antler world quote not stinking possible. An't gonna happen.

907
00:57:58,640 --> 00:58:01,600
Speaker 1: I'm want to recap again. Go ahead, Shawn's got his

908
00:58:01,720 --> 00:58:04,360
Speaker 1: hand off, Sorry, but I want to I want to, like,

909
00:58:05,120 --> 00:58:08,080
Speaker 1: not on the antlers, but on the rattlesnake thing. I mean,

910
00:58:08,200 --> 00:58:13,640
Speaker 1: isn't that what adaptation is? Though, is eventual genetic change

911
00:58:13,840 --> 00:58:17,800
Speaker 1: to you live or you die, and so like saying

912
00:58:17,840 --> 00:58:23,400
Speaker 1: that rattlesnakes no longer rattling is just like a fluke

913
00:58:23,480 --> 00:58:27,160
Speaker 1: and isn't like a genetic adaptation to the ones that

914
00:58:27,240 --> 00:58:32,280
Speaker 1: rattle get killed and the ones that don't don't it

915
00:58:32,320 --> 00:58:35,000
Speaker 1: has to happen. Well, we're gonna answer all that because

916
00:58:35,000 --> 00:58:38,240
Speaker 1: when we get into halfle fingers thing about snakes, we're

917
00:58:38,240 --> 00:58:44,880
Speaker 1: gonna cover just how many rattlesnakes are out there, um, approximately,

918
00:58:44,920 --> 00:58:49,439
Speaker 1: how many are killed every year, the factors that lead

919
00:58:49,480 --> 00:58:59,280
Speaker 1: a rattlesnake to rattle, the impacts of air, temperature, unrattling, Um,

920
00:58:59,320 --> 00:59:03,320
Speaker 1: it ain't gonna happ mhm. I remember that that was

921
00:59:03,360 --> 00:59:08,880
Speaker 1: another Black Hills South Dakota like original that was bare

922
00:59:08,920 --> 00:59:11,040
Speaker 1: they're going to kill off all the rat rattling kind

923
00:59:11,720 --> 00:59:14,720
Speaker 1: I remember hearing that on I'm pretty sure it was

924
00:59:14,960 --> 00:59:20,480
Speaker 1: NPR or South Dakota Public Radio years ago. Was a

925
00:59:20,560 --> 00:59:24,640
Speaker 1: piece they did on really that rattlesnakes and the Black Hills,

926
00:59:24,680 --> 00:59:28,000
Speaker 1: don't rattle anymore. He also gets into the only really

927
00:59:28,040 --> 00:59:34,000
Speaker 1: like industrialized killing of rattlesnakes that rattlesnake round ups for instance,

928
00:59:34,240 --> 00:59:38,960
Speaker 1: So like, where really are snakes dying by humans? It

929
00:59:38,960 --> 00:59:42,560
Speaker 1: has nothing to do with rattling. They're getting him out

930
00:59:42,560 --> 00:59:46,040
Speaker 1: of Denny locations. This is not a thing, Tony. We'll

931
00:59:46,040 --> 00:59:48,840
Speaker 1: cover it. I want to get back to Montee though.

932
00:59:51,120 --> 00:59:54,440
Speaker 1: He's an eloquent dude. Oh yeah, so it is. Finally,

933
00:59:54,480 --> 00:59:56,280
Speaker 1: all this comes back to what has become for me

934
00:59:56,360 --> 00:59:58,440
Speaker 1: a bit of a long term goal in my career

935
00:59:58,520 --> 01:00:02,800
Speaker 1: relative to impact, and that is I hope that someday

936
01:00:03,360 --> 01:00:07,720
Speaker 1: when an incredibly large male is harvested, rather than the

937
01:00:07,760 --> 01:00:12,320
Speaker 1: response being oh, look at those genetics, it is instead

938
01:00:13,360 --> 01:00:18,600
Speaker 1: that boy must have had a fat mom. He's talking

939
01:00:18,640 --> 01:00:26,280
Speaker 1: about humans here. No, no, no, I like that, he says.

940
01:00:26,320 --> 01:00:31,360
Speaker 1: For one, this is a reality. For two, it importantly

941
01:00:31,400 --> 01:00:33,960
Speaker 1: shifts our focus is something that matters and that we

942
01:00:34,040 --> 01:00:36,360
Speaker 1: can influence. We will never be able to tip the

943
01:00:36,400 --> 01:00:40,880
Speaker 1: scale in the unseen and imaginary world of genetics to

944
01:00:41,000 --> 01:00:45,000
Speaker 1: grow bigger antlers, till that to all them do your farmers.

945
01:00:46,000 --> 01:00:48,800
Speaker 1: That's a whole different world, though, But the scale we

946
01:00:48,840 --> 01:00:53,439
Speaker 1: can tip is that of nutrition, both through considering her

947
01:00:53,560 --> 01:00:57,720
Speaker 1: density and habitat quality, all of which shifts our focus

948
01:00:58,720 --> 01:01:01,040
Speaker 1: from what is on the head of the animal to

949
01:01:01,160 --> 01:01:04,520
Speaker 1: what is on the ground to make more headway in

950
01:01:04,560 --> 01:01:08,000
Speaker 1: the world of conservation, that is where our hearts and

951
01:01:08,120 --> 01:01:12,960
Speaker 1: minds need to go. You got that. I like it.

952
01:01:13,480 --> 01:01:29,120
Speaker 1: Dude's good, Okay, ruddy sean, you can explain something the

953
01:01:29,280 --> 01:01:32,200
Speaker 1: two tier Nebraska duck system. Now, someone might be sitting

954
01:01:32,200 --> 01:01:33,880
Speaker 1: there at home thinking, why the hell would I care

955
01:01:33,880 --> 01:01:37,800
Speaker 1: about Nebraska's whatever that means to tier duck system. But

956
01:01:37,920 --> 01:01:40,840
Speaker 1: I don't know, Man, it's a test plot or it's

957
01:01:40,880 --> 01:01:43,480
Speaker 1: a test and they're doing South Dakota too. I don't

958
01:01:43,480 --> 01:01:48,720
Speaker 1: think I like it. Explain it. So, Nebraska and South

959
01:01:48,760 --> 01:01:54,800
Speaker 1: Dakota are testing a tiered license system where you have

960
01:01:54,840 --> 01:02:00,680
Speaker 1: a tier one, which is your normal federally set by

961
01:02:00,720 --> 01:02:05,560
Speaker 1: fly away license um or by fly away bag limits.

962
01:02:05,960 --> 01:02:09,120
Speaker 1: So you have, for example, in the Central Flyway with

963
01:02:09,160 --> 01:02:14,240
Speaker 1: South Dkota, Nebraska, you get six ducks a day, and

964
01:02:14,720 --> 01:02:22,480
Speaker 1: a variety of like species have more stringent more stringent

965
01:02:22,520 --> 01:02:25,479
Speaker 1: bag limits by species, so mallards you can shoot five

966
01:02:25,520 --> 01:02:28,520
Speaker 1: mallards a day in Nebraska only two of which can

967
01:02:28,560 --> 01:02:32,720
Speaker 1: be hands or you can only shoot one pintail. But

968
01:02:33,800 --> 01:02:39,560
Speaker 1: Nebraska and South Dakota are testing a second bag limit

969
01:02:39,880 --> 01:02:43,400
Speaker 1: tier or a different license that allows you to just

970
01:02:43,440 --> 01:02:47,320
Speaker 1: shoot three ducks a day. But whatever you want them

971
01:02:47,320 --> 01:02:51,080
Speaker 1: to be. It's just they're selling this as to get

972
01:02:51,120 --> 01:02:56,000
Speaker 1: more people duck hunting. Yeah, and my problems are we

973
01:02:56,080 --> 01:02:58,479
Speaker 1: really like, are there really like a lot of ducks

974
01:02:58,480 --> 01:03:01,000
Speaker 1: flying around that no one's hunting for? And I have

975
01:03:01,080 --> 01:03:05,520
Speaker 1: never exactly and I've never met uh a person that's

976
01:03:05,560 --> 01:03:09,720
Speaker 1: like I would buy a duck hunting license, but I

977
01:03:09,760 --> 01:03:11,960
Speaker 1: can't tell what a mallard hen is, so I'm not

978
01:03:11,960 --> 01:03:14,120
Speaker 1: gonna go. That's what the thinking is though. It's like

979
01:03:14,280 --> 01:03:16,680
Speaker 1: it's too hard to tell ducks apart, So just sell

980
01:03:17,040 --> 01:03:20,040
Speaker 1: like a little ship in license where someone could just

981
01:03:20,080 --> 01:03:23,840
Speaker 1: go kill whatever they want, counted up to three the

982
01:03:23,920 --> 01:03:27,560
Speaker 1: nets one tier, the other tiers people that uh, well,

983
01:03:28,440 --> 01:03:32,280
Speaker 1: uh learn what ducks are? What? Yeah, I just think

984
01:03:32,760 --> 01:03:36,520
Speaker 1: access is such a bigger problem, like having a place

985
01:03:36,560 --> 01:03:41,440
Speaker 1: to duck hunt, especially in Nebraska, which is like not

986
01:03:41,680 --> 01:03:45,240
Speaker 1: overflowing with public land opportunity. You know, a lot of

987
01:03:45,280 --> 01:03:49,600
Speaker 1: Nebraska's waterfowl hunting is like the North Platte river Bottom.

988
01:03:49,640 --> 01:03:54,040
Speaker 1: That's private least m h. You know across the state.

989
01:03:54,160 --> 01:03:58,960
Speaker 1: The whole way is leases across that whole river bottom.

990
01:03:59,040 --> 01:04:03,440
Speaker 1: And so I struggle with like, Oh, there's all these

991
01:04:03,480 --> 01:04:06,919
Speaker 1: guys in Nebraska or young kids in Nebraska that want

992
01:04:06,920 --> 01:04:11,000
Speaker 1: to go duck hunting, but the thing holding them back

993
01:04:11,200 --> 01:04:14,200
Speaker 1: is that they don't know what a pintail looks like

994
01:04:15,160 --> 01:04:19,280
Speaker 1: versus if they had access to you know, what's the

995
01:04:19,320 --> 01:04:21,800
Speaker 1: price difference between the two tags. I think it's the same,

996
01:04:21,840 --> 01:04:24,520
Speaker 1: but I'm not sure. I haven't. I haven't found that.

997
01:04:24,920 --> 01:04:28,200
Speaker 1: Do you know anyone personally doing it? Yeah, I don't need.

998
01:04:28,360 --> 01:04:33,160
Speaker 1: The thing that like makes me real reluctant on it

999
01:04:33,280 --> 01:04:38,240
Speaker 1: is pintails and canvasbacks. I mean, in general, I guess

1000
01:04:38,240 --> 01:04:41,760
Speaker 1: they're going to be less harvest because there's less of them.

1001
01:04:41,800 --> 01:04:44,160
Speaker 1: But man, if someone's all of a a sudden whacking three

1002
01:04:44,160 --> 01:04:47,320
Speaker 1: pintails a day, not not a huge fan of that

1003
01:04:47,400 --> 01:04:49,760
Speaker 1: because they're struggling as it is. Well, it's a four

1004
01:04:49,840 --> 01:04:54,640
Speaker 1: year plan and they're gonna be monitoring the difference of

1005
01:04:54,760 --> 01:04:59,000
Speaker 1: the harvest differences between the two tiers right to see.

1006
01:04:59,120 --> 01:05:03,080
Speaker 1: They're probably looking for us that right because these holders

1007
01:05:03,560 --> 01:05:06,240
Speaker 1: I don't want to call the holders. These fellers what

1008
01:05:06,400 --> 01:05:12,800
Speaker 1: tier The Tier two folks could go out and whack

1009
01:05:12,880 --> 01:05:17,360
Speaker 1: three canvas backs a day. Hens. Yeah, had three hens

1010
01:05:17,360 --> 01:05:20,480
Speaker 1: a day, three pintails day. They could shoot three pintail

1011
01:05:20,560 --> 01:05:28,400
Speaker 1: hens and it's a three day possession limit, right, so

1012
01:05:28,440 --> 01:05:30,960
Speaker 1: they could they could come home from the three day

1013
01:05:31,000 --> 01:05:38,480
Speaker 1: trip with nine hand pintails. And this is an anecdote,

1014
01:05:38,640 --> 01:05:42,280
Speaker 1: but one I'm pretty familiar with. Maybe some of the

1015
01:05:42,360 --> 01:05:47,280
Speaker 1: easiest decoy ducks are typically going to be like a

1016
01:05:47,400 --> 01:05:50,840
Speaker 1: hen pintail or hand mallard. Like when a hunt's going rough,

1017
01:05:51,480 --> 01:05:54,560
Speaker 1: the ducks that still end up decoin are the hen

1018
01:05:54,640 --> 01:05:56,440
Speaker 1: pintails and malle the one of the ones up just

1019
01:05:56,520 --> 01:05:59,880
Speaker 1: landing in the decoys all of a sudden. It is

1020
01:05:59,880 --> 01:06:03,240
Speaker 1: a pilot program. They just say it flat out. The

1021
01:06:03,280 --> 01:06:06,080
Speaker 1: idea behind this pilot program is to allow novice hunters

1022
01:06:06,080 --> 01:06:10,640
Speaker 1: who have not yet properly learned duck identification, the opportunity

1023
01:06:10,680 --> 01:06:14,240
Speaker 1: to go water foul hunting without fear of breaking bag

1024
01:06:14,360 --> 01:06:19,200
Speaker 1: limit laws. They want to recruit new duck hunters. I

1025
01:06:19,240 --> 01:06:23,600
Speaker 1: will say that, like it is intimidating if this does

1026
01:06:23,680 --> 01:06:27,040
Speaker 1: help some people like understand what what it is they're

1027
01:06:27,040 --> 01:06:30,919
Speaker 1: shooting at first light. It's a good thing because when

1028
01:06:30,960 --> 01:06:34,920
Speaker 1: you've shot your one hand pintail twenty minutes ten minutes

1029
01:06:34,960 --> 01:06:40,240
Speaker 1: after legal legal light, and you're real cautious the rest

1030
01:06:40,240 --> 01:06:43,200
Speaker 1: of the morning. I mean, if you can't exactly tell

1031
01:06:43,240 --> 01:06:45,440
Speaker 1: what you're looking at, you let a lot of ducks

1032
01:06:46,000 --> 01:06:49,600
Speaker 1: keep flying. So they got kind of a It's not

1033
01:06:49,720 --> 01:06:52,440
Speaker 1: frequently asked questions because it's like it's this is more

1034
01:06:52,480 --> 01:06:55,760
Speaker 1: like questions they can imagine in the future becoming frequently

1035
01:06:55,800 --> 01:07:03,040
Speaker 1: asked questions. Can you switch tears? Uh, you sign a deal?

1036
01:07:03,960 --> 01:07:07,800
Speaker 1: Can't switch tears if you're under sixteen? Can you do

1037
01:07:07,880 --> 01:07:13,680
Speaker 1: Tier two? Yes? Does it affect goose hunting? It does not.

1038
01:07:15,120 --> 01:07:19,240
Speaker 1: Quote geese are easier to identify than ducks. What will

1039
01:07:19,320 --> 01:07:23,880
Speaker 1: be the effects of Tier two hunters on restricted harvested species?

1040
01:07:25,320 --> 01:07:27,440
Speaker 1: Tier two hunters will be asked to participate in the

1041
01:07:27,520 --> 01:07:30,840
Speaker 1: parts collection survey, So they got to send in the

1042
01:07:30,880 --> 01:07:35,560
Speaker 1: wings from the ducks they harvest. That's interesting about ducks

1043
01:07:35,640 --> 01:07:38,240
Speaker 1: is like a wing tells you everything you need to

1044
01:07:38,280 --> 01:07:42,280
Speaker 1: know to a trained I a wing gives you species gender.

1045
01:07:44,720 --> 01:07:47,240
Speaker 1: You got to send in a wing so they can

1046
01:07:47,320 --> 01:07:50,840
Speaker 1: monitor the species and sects of ducks harvested and determine

1047
01:07:50,880 --> 01:07:54,440
Speaker 1: how much of a difference in harvest there is between

1048
01:07:54,480 --> 01:07:58,800
Speaker 1: Tier one and Tier two hunters. There in lies the

1049
01:07:58,800 --> 01:08:02,600
Speaker 1: there's the rub. If they do that work and there's

1050
01:08:02,600 --> 01:08:09,560
Speaker 1: no discernible difference, then right, yeah, I think in general

1051
01:08:09,600 --> 01:08:12,640
Speaker 1: the tier two hunters, if I was like foreshadowing or

1052
01:08:12,680 --> 01:08:15,360
Speaker 1: forecasting this, they're just gonna end up with like more

1053
01:08:15,360 --> 01:08:19,200
Speaker 1: early season ducks and more hands because inherently someone that

1054
01:08:19,280 --> 01:08:23,640
Speaker 1: doesn't hunt waterfowl and is testing it out is going

1055
01:08:23,680 --> 01:08:29,400
Speaker 1: to be like hunting those early season environment They're gonna

1056
01:08:29,479 --> 01:08:33,720
Speaker 1: end up with probably more more hands, more drab. You know,

1057
01:08:34,080 --> 01:08:37,040
Speaker 1: early season ducks. Have you hunted up in You've hunt

1058
01:08:37,080 --> 01:08:39,160
Speaker 1: in the north where you start hunting early and the

1059
01:08:39,240 --> 01:08:42,280
Speaker 1: ducks are so drab because they don't have their full

1060
01:08:42,520 --> 01:08:48,000
Speaker 1: fall plumage yet. It's hard, it's hard to identify them.

1061
01:08:48,040 --> 01:08:54,320
Speaker 1: You know, that's a whole another point. But Canada gloves

1062
01:08:54,360 --> 01:08:58,479
Speaker 1: off on pintails. They can shoot for a day and

1063
01:08:58,600 --> 01:09:02,880
Speaker 1: ten Mallard's too about see because duck I D is

1064
01:09:02,920 --> 01:09:07,400
Speaker 1: so hard early in the year. You know, Canada's season

1065
01:09:07,439 --> 01:09:12,280
Speaker 1: open September one. Well, ducks are like right at the

1066
01:09:12,280 --> 01:09:15,000
Speaker 1: tail end of their you know, they're they're just coming

1067
01:09:15,000 --> 01:09:19,960
Speaker 1: out of the nest, right, and they've pretty much said, like,

1068
01:09:20,240 --> 01:09:23,160
Speaker 1: we don't expect people to be able to identify hens

1069
01:09:23,160 --> 01:09:27,040
Speaker 1: and drakes that early. So you can just shoot four

1070
01:09:27,080 --> 01:09:32,240
Speaker 1: pintails a day in Canada and doesn't matter sex. So

1071
01:09:32,439 --> 01:09:35,519
Speaker 1: if I'm I guess, if I'm complaining about this ending

1072
01:09:35,600 --> 01:09:38,400
Speaker 1: up killing some extra hen pintails and hen mallards, I

1073
01:09:38,400 --> 01:09:41,280
Speaker 1: have to complain about that too, Well, it's it's it

1074
01:09:41,400 --> 01:09:47,680
Speaker 1: warrants pointing out though that not like waterfowl just just

1075
01:09:48,320 --> 01:09:52,560
Speaker 1: we should explain to the folks a little bit. Most wildlife,

1076
01:09:53,160 --> 01:09:55,719
Speaker 1: most of all game animals are just administered within the state,

1077
01:09:56,439 --> 01:09:59,160
Speaker 1: like each date runs their own program because the state

1078
01:09:59,439 --> 01:10:03,360
Speaker 1: it's dear or kind of it's deer, right, and one

1079
01:10:03,400 --> 01:10:05,200
Speaker 1: state could like totally screw up as dear heart, and

1080
01:10:05,240 --> 01:10:10,800
Speaker 1: that doesn't necessarily immediately impact the neighboring state. Waterfowl does.

1081
01:10:11,920 --> 01:10:15,760
Speaker 1: So waterfowl is managed by the federal government and the

1082
01:10:15,760 --> 01:10:19,280
Speaker 1: state government's who work in collaboration to set limits and

1083
01:10:19,520 --> 01:10:23,360
Speaker 1: right because you can't have one state totally screwed the

1084
01:10:23,400 --> 01:10:25,880
Speaker 1: pooch on it and then have it be that the

1085
01:10:25,880 --> 01:10:29,200
Speaker 1: next date suffers the consequences during the migration. But not

1086
01:10:29,240 --> 01:10:35,120
Speaker 1: only that, but we have international treaties, Like our ducks

1087
01:10:35,160 --> 01:10:37,679
Speaker 1: are managed at a state level. Our ducks are managed

1088
01:10:37,680 --> 01:10:42,519
Speaker 1: at a federal level, and they're managed in collaboration with

1089
01:10:42,640 --> 01:10:47,240
Speaker 1: Canada and Mexico. So no one's really like totally going

1090
01:10:47,280 --> 01:10:50,920
Speaker 1: at rogue. No. I don't want to be the kind

1091
01:10:50,920 --> 01:10:54,120
Speaker 1: of guy that just hates everything new, So I'm gonna

1092
01:10:54,400 --> 01:10:58,880
Speaker 1: I'm gonna back up. I'm gonna reserve judgment on the

1093
01:10:58,920 --> 01:11:01,720
Speaker 1: tier one tier two thing until you see if there's

1094
01:11:01,760 --> 01:11:07,760
Speaker 1: like any kind of like crazy ass harvest difference. Yeah,

1095
01:11:07,840 --> 01:11:12,320
Speaker 1: in South Dakota and Nebraska, there's like things that don't

1096
01:11:12,360 --> 01:11:15,760
Speaker 1: concern me quite as much. But if this was the

1097
01:11:15,800 --> 01:11:20,120
Speaker 1: case in Iowa or Wisconsin, where you can only shoot

1098
01:11:20,120 --> 01:11:24,719
Speaker 1: one canvas back and you get of the migratory canvas

1099
01:11:24,760 --> 01:11:27,760
Speaker 1: back population, stopping at Pool eight Pool nine on the

1100
01:11:27,760 --> 01:11:33,560
Speaker 1: Mississippi River, is that thing? Yeah, So, like the Mississippi

1101
01:11:33,720 --> 01:11:37,559
Speaker 1: River is the big stage in ground for canvas backs

1102
01:11:38,320 --> 01:11:42,080
Speaker 1: in late October early November. But if all of a sudden,

1103
01:11:42,320 --> 01:11:46,599
Speaker 1: like everyone decided to do this, I think you'd have

1104
01:11:46,720 --> 01:11:51,040
Speaker 1: these guys that love shooting canvas backsplate, they'd manipulate it

1105
01:11:51,280 --> 01:11:54,920
Speaker 1: and they'd go to a Tier two license and be like, well,

1106
01:11:54,960 --> 01:11:57,760
Speaker 1: now I can shoot three canvas backs a day. That's

1107
01:11:57,760 --> 01:12:00,200
Speaker 1: a great point, and that worries me. Yeah, you know

1108
01:12:00,280 --> 01:12:03,080
Speaker 1: what when it's a good point. When I was living

1109
01:12:03,120 --> 01:12:06,400
Speaker 1: at Washington State. Um, I know that we're not talking

1110
01:12:06,400 --> 01:12:09,200
Speaker 1: about Washingtontate, but say Washingtontate had this when I was

1111
01:12:09,240 --> 01:12:13,320
Speaker 1: living at Washington State on the coast, you would absolutely

1112
01:12:13,360 --> 01:12:17,679
Speaker 1: do it for pintails, right yep, of course you would,

1113
01:12:17,720 --> 01:12:21,240
Speaker 1: because your duck hunting boils down like around Thanksgiving, it's

1114
01:12:21,360 --> 01:12:24,599
Speaker 1: lights out for pintails. So I'll just be like, oh, yeah,

1115
01:12:24,640 --> 01:12:26,800
Speaker 1: I'm going Tier two so I can just go shoot

1116
01:12:26,840 --> 01:12:31,200
Speaker 1: three pin tails a day because that's all I hunt anyway. Right,

1117
01:12:31,479 --> 01:12:35,280
Speaker 1: I'm out there busting my ass trying to get drake pintails. Uh,

1118
01:12:38,040 --> 01:12:41,200
Speaker 1: single one to get drake pin tail. Now I can

1119
01:12:41,240 --> 01:12:44,400
Speaker 1: go like, who gives a ship that's gonna do Tier two.

1120
01:12:45,520 --> 01:12:48,960
Speaker 1: There's there's locations and states that would have to be

1121
01:12:49,040 --> 01:12:51,880
Speaker 1: like exemptions where you just can't do it. They're in

1122
01:12:52,160 --> 01:12:56,680
Speaker 1: lies the rub that's like Michigan. The Bluebells and the

1123
01:12:56,720 --> 01:13:00,560
Speaker 1: redheads you know, are bluebells dropped till one and November.

1124
01:13:01,000 --> 01:13:03,040
Speaker 1: And if you're hunting Lake Erie Ors, I had an

1125
01:13:03,080 --> 01:13:06,439
Speaker 1: abbe in November. You have a ton of blue bills,

1126
01:13:07,320 --> 01:13:10,120
Speaker 1: So I mean, yeah, you're passing on blue bills. Yeah, exactly.

1127
01:13:11,040 --> 01:13:12,920
Speaker 1: So if you could buy a license and now you

1128
01:13:12,920 --> 01:13:16,360
Speaker 1: can shoot three instead of one, I mean there's guys

1129
01:13:16,400 --> 01:13:18,240
Speaker 1: that shoot a lot of blue bills that are gonna

1130
01:13:18,320 --> 01:13:23,960
Speaker 1: get that license. Mhmm. Coastal Texas. I think the same thing.

1131
01:13:24,160 --> 01:13:28,040
Speaker 1: Pintails and redheads down there, Like those boys just pass

1132
01:13:28,120 --> 01:13:32,880
Speaker 1: on pintails and redheads most of their hunts because they're

1133
01:13:32,880 --> 01:13:37,400
Speaker 1: already limited, like waiting for an extra species to show up,

1134
01:13:37,520 --> 01:13:42,599
Speaker 1: you know. M hmm. We'll see, we'll see. Remember earlier

1135
01:13:42,640 --> 01:13:45,200
Speaker 1: when I said, hey, man, just you might not care

1136
01:13:45,240 --> 01:13:46,960
Speaker 1: about duck hunton, but you should still listen to this.

1137
01:13:47,560 --> 01:13:54,160
Speaker 1: It's because of how beautifully complex the regulatory structure, so

1138
01:13:54,280 --> 01:13:57,600
Speaker 1: complex for wildlife. We have a guy we had on

1139
01:13:57,640 --> 01:14:03,360
Speaker 1: the podcast long ago. Uh. He's a social scientist and

1140
01:14:03,840 --> 01:14:05,840
Speaker 1: he's working on this thing where you you find people

1141
01:14:05,920 --> 01:14:12,040
Speaker 1: who are opposed to hunting or suspicious of hunting, and

1142
01:14:12,040 --> 01:14:18,760
Speaker 1: then you walk them through certain arguments. Not arguments, you

1143
01:14:18,800 --> 01:14:23,360
Speaker 1: walk them through like certain realities and then you ask

1144
01:14:23,479 --> 01:14:27,840
Speaker 1: them how do you feel about what I just told you, right,

1145
01:14:29,280 --> 01:14:30,760
Speaker 1: and they'll tell you, like, you know here in that

1146
01:14:30,880 --> 01:14:34,160
Speaker 1: I feel a little better about it. And they tested

1147
01:14:34,200 --> 01:14:39,000
Speaker 1: all these different things. Um, they tested food, right, they

1148
01:14:39,040 --> 01:14:44,679
Speaker 1: tested uh, financial structures, so like conservation funding. Dude's name

1149
01:14:44,720 --> 01:14:51,400
Speaker 1: was Greg Blaskovic. He explains this whole thing. But try

1150
01:14:51,400 --> 01:14:55,080
Speaker 1: all these different arguments out right, and and you see

1151
01:14:55,080 --> 01:15:00,920
Speaker 1: what like makes people what what changes their impression? One

1152
01:15:00,960 --> 01:15:03,640
Speaker 1: of the things that UH, let me, I want to

1153
01:15:03,640 --> 01:15:05,160
Speaker 1: I want to sauce this stuff by telling you what

1154
01:15:05,240 --> 01:15:07,760
Speaker 1: doesn't I think that they found it's interesting that people are.

1155
01:15:07,800 --> 01:15:14,000
Speaker 1: They're not buying it over population. They don't buy overpopulation.

1156
01:15:14,160 --> 01:15:16,800
Speaker 1: When you're like, if you don't hunt deer, we're gonna

1157
01:15:16,840 --> 01:15:20,559
Speaker 1: be overrun by deer, they don't buy it. Yeah, but

1158
01:15:20,640 --> 01:15:23,960
Speaker 1: think about it too. Who's likely to be anti hunting

1159
01:15:24,000 --> 01:15:27,040
Speaker 1: is people like from a more urban setting. It just

1160
01:15:27,160 --> 01:15:30,640
Speaker 1: isn't gonna like people from They're not from the egg community.

1161
01:15:31,360 --> 01:15:35,040
Speaker 1: So when someone from an urban environment you're like, oh, yeah,

1162
01:15:35,160 --> 01:15:39,120
Speaker 1: we're gonna be overrun by ducks, They're probably like, what,

1163
01:15:39,880 --> 01:15:43,080
Speaker 1: we're not gonna be overrunning I've seen a duck in

1164
01:15:43,160 --> 01:15:47,080
Speaker 1: three weeks, right, It's like it doesn't you know if

1165
01:15:47,080 --> 01:15:50,519
Speaker 1: you imagine like who probably is adversarial. It's like people

1166
01:15:50,520 --> 01:15:53,040
Speaker 1: of the urban sensibility. So when you lay out to

1167
01:15:53,120 --> 01:15:56,040
Speaker 1: them like overpopulation of wildlife, it's just not something they

1168
01:15:56,120 --> 01:15:59,479
Speaker 1: live with. And they're like, uh, just this, this is

1169
01:15:59,520 --> 01:16:03,200
Speaker 1: not keeping up at night, the destroying the tundra. They're like,

1170
01:16:03,240 --> 01:16:05,840
Speaker 1: I've never seen an It's like it's hard for me

1171
01:16:05,920 --> 01:16:08,280
Speaker 1: to like, you know, I can't. It's just I don't

1172
01:16:08,280 --> 01:16:13,400
Speaker 1: buy it or whatever the hell. But either way, explaining um,

1173
01:16:13,520 --> 01:16:17,840
Speaker 1: the regulatory structure like how ship like what we're talking

1174
01:16:17,840 --> 01:16:21,720
Speaker 1: about right now is determined and goes on. They're like,

1175
01:16:22,000 --> 01:16:24,080
Speaker 1: you know, then people like, oh heck, it's cool. You

1176
01:16:24,120 --> 01:16:28,960
Speaker 1: can see that put some ad ease, put some well,

1177
01:16:29,080 --> 01:16:34,360
Speaker 1: especially waterfowl should and would because laws with wildlife as

1178
01:16:34,439 --> 01:16:37,599
Speaker 1: a whole, it seems like it's taken to the next

1179
01:16:37,680 --> 01:16:42,240
Speaker 1: level with waterfowl. It's just that much more complex. I

1180
01:16:42,360 --> 01:16:46,120
Speaker 1: have through my career, like I've had a lot of

1181
01:16:46,160 --> 01:16:49,960
Speaker 1: exposure to, you know, people publishing production worlds who like,

1182
01:16:50,000 --> 01:16:53,519
Speaker 1: do not come from a nature background, do not come

1183
01:16:53,560 --> 01:16:57,240
Speaker 1: from a world upbringing, did not grow up hunting. I

1184
01:16:57,240 --> 01:17:03,160
Speaker 1: have found time and again people being pleasantly surprised to

1185
01:17:03,280 --> 01:17:06,200
Speaker 1: hear that there are rules that govern the taking of

1186
01:17:06,280 --> 01:17:08,880
Speaker 1: game were they thought that in their mind they hadn't

1187
01:17:08,880 --> 01:17:10,840
Speaker 1: thought about it, but in their mind it's just like

1188
01:17:10,880 --> 01:17:12,680
Speaker 1: it must be that you just walk out in the

1189
01:17:12,720 --> 01:17:16,920
Speaker 1: woods and yeah, and they're like and you're like, oh no,

1190
01:17:17,120 --> 01:17:18,840
Speaker 1: check this one out, you know, and you'll tell them like,

1191
01:17:18,920 --> 01:17:23,280
Speaker 1: for instance, there is a you know, you're the the

1192
01:17:23,680 --> 01:17:26,040
Speaker 1: end of your muzzle, like the end of your barrel.

1193
01:17:26,040 --> 01:17:29,720
Speaker 1: There's a diameter. Okay, there's like a thickness. They tell

1194
01:17:29,800 --> 01:17:34,160
Speaker 1: you what's too thick and too thin? Right, Yeah, that's

1195
01:17:34,160 --> 01:17:38,520
Speaker 1: a rule. And not only that, but what the projectile

1196
01:17:39,080 --> 01:17:42,519
Speaker 1: is made out of is regulated. They're calling no ship.

1197
01:17:43,920 --> 01:17:47,360
Speaker 1: I'm like, yeah, I'm just scratching the surface bar Every

1198
01:17:47,400 --> 01:17:50,040
Speaker 1: single aspect of it is regulated. Now, As someone who

1199
01:17:50,040 --> 01:17:52,679
Speaker 1: didn't grow up in in this world, that is absolutely true.

1200
01:17:52,840 --> 01:17:55,920
Speaker 1: People just think it's blood lust, antiquated blood lust. I'd

1201
01:17:55,920 --> 01:17:57,560
Speaker 1: say that there's like a decent amount of people. I

1202
01:17:57,600 --> 01:18:03,240
Speaker 1: think that's what hunting is. Damn straight. You don't think that,

1203
01:18:03,280 --> 01:18:11,160
Speaker 1: do you feel? Of course? Not? All right? Uh? Oh,

1204
01:18:11,280 --> 01:18:13,280
Speaker 1: One last thing I wanted to talk about. So now

1205
01:18:13,520 --> 01:18:18,280
Speaker 1: Sean's gonna come on with with regularity, yea, to do

1206
01:18:18,400 --> 01:18:21,640
Speaker 1: duck segments, waterfowl segments, talk about ducks, the kind of

1207
01:18:21,640 --> 01:18:23,639
Speaker 1: ship we're talking about right now, come on, he's gonna

1208
01:18:23,680 --> 01:18:26,120
Speaker 1: tell you something you don't already know. Yep for the

1209
01:18:26,160 --> 01:18:30,840
Speaker 1: most of you, but uh as a teaser to titillate everybody,

1210
01:18:31,439 --> 01:18:36,000
Speaker 1: talk about the complexities that you have right like, you're

1211
01:18:36,040 --> 01:18:40,720
Speaker 1: you're traveling around hunting dark state state state in a

1212
01:18:40,800 --> 01:18:44,880
Speaker 1: truck for the most part, driving from pulling the boat driving.

1213
01:18:46,760 --> 01:18:51,480
Speaker 1: Explain to folks some of the complexities of of managing

1214
01:18:51,520 --> 01:18:56,880
Speaker 1: your kill, managing your take. Yeah, it is so much

1215
01:18:56,920 --> 01:19:00,960
Speaker 1: more complicated once you get into like even moving a

1216
01:19:01,120 --> 01:19:05,960
Speaker 1: duck for starters, has to be wing or head attached,

1217
01:19:06,080 --> 01:19:09,800
Speaker 1: depending on where you're at, moving it anywhere, moving it

1218
01:19:09,840 --> 01:19:14,599
Speaker 1: anywhere except that's final resting place of like your home.

1219
01:19:15,920 --> 01:19:19,200
Speaker 1: Um so not your camper trailer. No, So there's no

1220
01:19:19,400 --> 01:19:23,000
Speaker 1: breasting out birds when you're on the road. And this

1221
01:19:23,080 --> 01:19:26,640
Speaker 1: is something that I've seen very neglected. I guess I

1222
01:19:26,640 --> 01:19:32,160
Speaker 1: would say just in general with waterfowl hunters, that people

1223
01:19:32,200 --> 01:19:34,679
Speaker 1: don't really care about it or know about it until

1224
01:19:34,720 --> 01:19:36,880
Speaker 1: they get written a ticket for it, right, They don't

1225
01:19:36,880 --> 01:19:41,160
Speaker 1: realize that it has to have a wing or a

1226
01:19:41,240 --> 01:19:48,880
Speaker 1: head naturally attached until you get to your house and

1227
01:19:49,600 --> 01:19:54,080
Speaker 1: they're content going somewhere and breasting out their birds, and

1228
01:19:54,120 --> 01:19:58,240
Speaker 1: they've probably done it dozens of times and driven home

1229
01:19:58,280 --> 01:20:02,280
Speaker 1: with you know, no problem. But then it's the one

1230
01:20:02,320 --> 01:20:05,240
Speaker 1: time they, you know, run into a game warden that

1231
01:20:05,240 --> 01:20:08,320
Speaker 1: they all of a sudden they're aware of the and

1232
01:20:08,479 --> 01:20:12,040
Speaker 1: see a lot of these federal offense and a lot

1233
01:20:12,040 --> 01:20:16,200
Speaker 1: of these waterfowl regulations are so stringent because of the

1234
01:20:16,240 --> 01:20:21,800
Speaker 1: market hunting days, because there was no rules around waterfowl

1235
01:20:21,920 --> 01:20:24,920
Speaker 1: in the market hunting days, that once the rules did

1236
01:20:24,960 --> 01:20:28,639
Speaker 1: come about, they were like really laid down. The law

1237
01:20:29,000 --> 01:20:34,639
Speaker 1: really really had to be serious and particular to stop

1238
01:20:34,760 --> 01:20:38,800
Speaker 1: the market hunting. And you actually had certain places that

1239
01:20:38,840 --> 01:20:43,320
Speaker 1: were like holdouts. The Illinois River Valley is notorious for

1240
01:20:43,560 --> 01:20:48,880
Speaker 1: like even when the bird treaties came about and market

1241
01:20:48,960 --> 01:20:53,160
Speaker 1: hunting was no more, they were like, screw it, We're

1242
01:20:53,160 --> 01:20:57,240
Speaker 1: going to keep doing. They were on board, and eventually

1243
01:20:57,280 --> 01:21:01,200
Speaker 1: it had to just be like wardens and federal officers

1244
01:21:01,280 --> 01:21:04,200
Speaker 1: like pushed into the Illinois River Valley to finally put

1245
01:21:04,200 --> 01:21:07,200
Speaker 1: the kabash on on market hunting because they were gonna

1246
01:21:07,200 --> 01:21:10,040
Speaker 1: lose it all man, I mean we're gonna like lose ducks. Yeah,

1247
01:21:10,120 --> 01:21:13,200
Speaker 1: it's amazing, Like it's amazing that we have that we

1248
01:21:13,240 --> 01:21:15,799
Speaker 1: can even sit here and talk about shooting three canvas

1249
01:21:15,840 --> 01:21:19,040
Speaker 1: backs a day because there was a point where they

1250
01:21:19,040 --> 01:21:22,280
Speaker 1: were just on a string. You know, there's almost no

1251
01:21:22,439 --> 01:21:26,479
Speaker 1: canvas backs. Wood ducks as well, and giant Canada geese

1252
01:21:26,520 --> 01:21:31,080
Speaker 1: you know, that's another whole another story. Yeah, it's crazy

1253
01:21:31,080 --> 01:21:36,000
Speaker 1: when you read Elder Leopold Sand County Almanac, um, which

1254
01:21:36,000 --> 01:21:40,040
Speaker 1: he was writing in the es his idea of what

1255
01:21:40,040 --> 01:21:44,599
Speaker 1: it means to see a goose, Yeah, compared to now

1256
01:21:44,960 --> 01:21:47,920
Speaker 1: like trying to get him off the golf green. Yeah,

1257
01:21:48,120 --> 01:21:50,280
Speaker 1: so you can like finish out the round or whatever

1258
01:21:50,560 --> 01:21:55,800
Speaker 1: you play golf. Um, just wildly different situation. And that

1259
01:21:55,840 --> 01:21:58,320
Speaker 1: was in Wisconsin, right, what I meant to see a

1260
01:21:58,360 --> 01:22:01,559
Speaker 1: Canada goose in Wisconsin, which now is you know, one

1261
01:22:01,600 --> 01:22:05,120
Speaker 1: of the better goose hunting states, and like they're everywhere

1262
01:22:05,760 --> 01:22:10,280
Speaker 1: also Wisconsin. Doug during um talking about being a kid,

1263
01:22:10,640 --> 01:22:15,479
Speaker 1: and you saw a deer track southwest Wisconsin, you saw

1264
01:22:15,479 --> 01:22:17,599
Speaker 1: a deer track. You ran home and told my dad

1265
01:22:19,880 --> 01:22:26,440
Speaker 1: so crazy. So um, back on the like traveling with waterfowl,

1266
01:22:26,479 --> 01:22:29,160
Speaker 1: so you have to have them attached the wing and

1267
01:22:29,400 --> 01:22:32,920
Speaker 1: wing or head. But then in addition, you have to

1268
01:22:32,960 --> 01:22:36,800
Speaker 1: have the birds tagged, which is another thing that like

1269
01:22:36,880 --> 01:22:41,400
Speaker 1: people are just so not aware of, is like your name,

1270
01:22:41,600 --> 01:22:45,599
Speaker 1: your address, your hunting license number, etcetera. This you know

1271
01:22:45,800 --> 01:22:52,639
Speaker 1: what the what the bird and sex is. Um, all

1272
01:22:52,680 --> 01:22:56,479
Speaker 1: this information has to be like with the bird as

1273
01:22:56,520 --> 01:23:00,840
Speaker 1: you travel, and the birds have to be separated. Yeah,

1274
01:23:00,880 --> 01:23:03,880
Speaker 1: that's that that can't be frozen all together. That's a

1275
01:23:03,960 --> 01:23:08,920
Speaker 1: rule I violated a thousand times in the field. Is

1276
01:23:08,960 --> 01:23:10,559
Speaker 1: that you're in a blind with a couple of guys,

1277
01:23:10,560 --> 01:23:11,880
Speaker 1: are in a boat with a couple of guys, and

1278
01:23:11,880 --> 01:23:14,719
Speaker 1: you've got a pile of ducks land there, and I

1279
01:23:14,760 --> 01:23:17,000
Speaker 1: am they're supposed to be those birds are supposed to

1280
01:23:17,040 --> 01:23:19,840
Speaker 1: be like that's mine, that's mine, keep on a string.

1281
01:23:20,640 --> 01:23:22,120
Speaker 1: It can't be that there's a pile of ducks in

1282
01:23:22,120 --> 01:23:26,519
Speaker 1: the boat and you have to you know, I think, uh,

1283
01:23:26,600 --> 01:23:30,559
Speaker 1: I think that's been something that for a long time

1284
01:23:30,640 --> 01:23:34,240
Speaker 1: game wardens didn't bother with, didn't prosecute. It was one

1285
01:23:34,280 --> 01:23:39,200
Speaker 1: of those things that was a law that wasn't acted on.

1286
01:23:39,960 --> 01:23:45,200
Speaker 1: Was was like when they show up to a boat, say, okay,

1287
01:23:45,240 --> 01:23:48,880
Speaker 1: you tell me whose birds are Who's right? But now

1288
01:23:49,080 --> 01:23:51,920
Speaker 1: it seems like it's kind of had a almost a

1289
01:23:51,960 --> 01:23:54,639
Speaker 1: renaissance of sorts, or maybe people are just more aware

1290
01:23:54,680 --> 01:23:58,879
Speaker 1: of more cases of it across the country. But in general,

1291
01:23:59,080 --> 01:24:02,200
Speaker 1: party hunting is not allowed for waterfowl period. Like you

1292
01:24:02,240 --> 01:24:05,000
Speaker 1: have to claim what what you shot or what you

1293
01:24:05,040 --> 01:24:08,680
Speaker 1: didn't and it's hard because you have a flock of

1294
01:24:08,720 --> 01:24:12,320
Speaker 1: birds coming in and everyone's you know, together shooting at

1295
01:24:12,320 --> 01:24:15,080
Speaker 1: these birds. Sometimes it can be hard to know like

1296
01:24:15,280 --> 01:24:18,800
Speaker 1: who shot that hen mallard. As a waterfowl hunter, you

1297
01:24:18,840 --> 01:24:22,519
Speaker 1: just have to be responsible of like acknowledging that's the

1298
01:24:22,640 --> 01:24:28,400
Speaker 1: law and making a conscious effort to be like, oh

1299
01:24:28,439 --> 01:24:31,160
Speaker 1: I shot that duck, like that is going in my

1300
01:24:31,320 --> 01:24:35,519
Speaker 1: pile in this boat, or Max, I know you shot

1301
01:24:35,600 --> 01:24:39,320
Speaker 1: that duck, so you need to like claim that duck,

1302
01:24:39,439 --> 01:24:41,600
Speaker 1: take ownership of the dock, not just throw it in

1303
01:24:41,640 --> 01:24:47,479
Speaker 1: the big master prey. And because ultimately, if there's four

1304
01:24:47,560 --> 01:24:50,679
Speaker 1: hand mallards in the boat and two hunters, okay, yeah,

1305
01:24:50,720 --> 01:24:53,439
Speaker 1: there's you know two hand mallards a guy, it'd be

1306
01:24:53,520 --> 01:24:56,439
Speaker 1: nice if that was the law right if it was

1307
01:24:56,479 --> 01:24:59,080
Speaker 1: like a party hunting deal, but it's not. It is

1308
01:24:59,160 --> 01:25:03,639
Speaker 1: a you cannot party hunt for waterfowl. So Max can't

1309
01:25:03,680 --> 01:25:06,439
Speaker 1: go shoot four hand mallards and give me two of

1310
01:25:06,479 --> 01:25:08,559
Speaker 1: them and be like, we're good, We're at our hand

1311
01:25:08,560 --> 01:25:11,840
Speaker 1: mallard limit. It's just not the case. You gotta you

1312
01:25:11,880 --> 01:25:15,080
Speaker 1: gotta keep it separated. And if you're doing a lot

1313
01:25:15,080 --> 01:25:17,160
Speaker 1: of duck hunting, you gotta keep eating ducks. You gotta

1314
01:25:17,160 --> 01:25:18,920
Speaker 1: eat a lot of duck. Boy, do we eat a

1315
01:25:18,920 --> 01:25:22,599
Speaker 1: lot of duck because you can't because possession possession limit.

1316
01:25:22,920 --> 01:25:26,160
Speaker 1: And we you're cooking ducks right now, cooking them in

1317
01:25:26,200 --> 01:25:30,920
Speaker 1: the crock pot right now. We eat duck every day.

1318
01:25:31,080 --> 01:25:33,479
Speaker 1: We gotta find you chili recipe. Yeah, we gotta find

1319
01:25:34,280 --> 01:25:36,640
Speaker 1: he hasn't make duck chili right now. We've already had

1320
01:25:36,760 --> 01:25:40,760
Speaker 1: two trips. Just put all it just legs. Well, you know,

1321
01:25:40,840 --> 01:25:43,320
Speaker 1: you get the birds that are your nice pluckers, right

1322
01:25:43,400 --> 01:25:45,960
Speaker 1: that you want to like keep the skin on and

1323
01:25:46,479 --> 01:25:52,080
Speaker 1: do up nice. Then you get the ones that like, yeah,

1324
01:25:52,120 --> 01:25:55,400
Speaker 1: there's just no saving them chili ducks. So what do

1325
01:25:55,400 --> 01:25:56,840
Speaker 1: you got to tell everybody what you got going on

1326
01:25:56,920 --> 01:26:00,320
Speaker 1: right now? So you caught up hallo peneals. Yeah, it's oh,

1327
01:26:00,400 --> 01:26:04,960
Speaker 1: it's a there's nothing fancy about that chili recipe, but

1328
01:26:05,000 --> 01:26:12,160
Speaker 1: it's good. There's hallo peenose, onions, some chili packets, salary um,

1329
01:26:12,200 --> 01:26:15,960
Speaker 1: green peppers, a bunch of duck legs, a bunch of legs.

1330
01:26:16,680 --> 01:26:19,679
Speaker 1: Is goose in there too. There's some goose in there,

1331
01:26:20,120 --> 01:26:22,040
Speaker 1: and you cook it all down, pick the meat off,

1332
01:26:22,040 --> 01:26:26,400
Speaker 1: fill the bones out, then shred it, throw it all

1333
01:26:26,439 --> 01:26:31,599
Speaker 1: back in veggies. Croc pot yep, croc pot chili. Pretty

1334
01:26:31,640 --> 01:26:34,759
Speaker 1: pretty good after after a cold day on the water.

1335
01:26:34,920 --> 01:26:37,760
Speaker 1: It's kind of like a what you got pot? Yeah,

1336
01:26:37,960 --> 01:26:40,280
Speaker 1: oh yeah, we're just hearing there, just just to close

1337
01:26:40,320 --> 01:26:44,280
Speaker 1: out one of our he's not in the room right now,

1338
01:26:44,320 --> 01:26:46,760
Speaker 1: but one of our camera guys was talking about being

1339
01:26:46,760 --> 01:26:50,640
Speaker 1: it out at a remote uh shack in Alaska, and

1340
01:26:50,680 --> 01:26:54,080
Speaker 1: this guy had this rule that anyone that didn't clean

1341
01:26:54,120 --> 01:26:57,880
Speaker 1: their plate, that food went into a pot and on

1342
01:26:57,960 --> 01:27:03,480
Speaker 1: Friday that was the meal. Yeah, just the scattered leftovers

1343
01:27:03,800 --> 01:27:09,280
Speaker 1: warmed up in a pot. Very very motivational. Zero waste, man,

1344
01:27:09,720 --> 01:27:11,920
Speaker 1: zero waste. I want to try it for a while,

1345
01:27:12,640 --> 01:27:15,920
Speaker 1: just see really what what that ends up tasting. Mike

1346
01:27:16,640 --> 01:27:19,320
Speaker 1: all right, we're gonna we're gonna go hunt. Yeah. Now

1347
01:27:19,360 --> 01:27:21,760
Speaker 1: we're gonna go try to shoot some redheads now that

1348
01:27:21,760 --> 01:27:26,080
Speaker 1: it's totally daylight out. Yeah, it's all right. Divers are

1349
01:27:26,240 --> 01:27:29,800
Speaker 1: a little different than your traditional puddle ducks. All right,

1350
01:27:30,240 --> 01:27:33,400
Speaker 1: thanks everybody for tuning in. Are you ready to let

1351
01:27:33,439 --> 01:27:36,479
Speaker 1: me try those shoes on? Go ahead and putting birds on.

1352
01:27:36,520 --> 01:27:38,080
Speaker 1: Here it is. Let me know what you think. I'm

1353
01:27:38,120 --> 01:27:43,320
Speaker 1: just squeezing there real quick, right on, you gotta lock around,

1354
01:27:43,600 --> 01:27:48,360
Speaker 1: take a couple of right out perfect. Last thing to

1355
01:27:48,720 --> 01:27:52,240
Speaker 1: remember this, check out duck Lore. It'll be on meator

1356
01:27:52,800 --> 01:27:56,599
Speaker 1: on our YouTube channel. Meters YouTube channel. Check out duck Lore.

1357
01:27:56,720 --> 01:28:01,040
Speaker 1: Subscribe do that, Just gribe to the YouTube channel so

1358
01:28:01,040 --> 01:28:04,040
Speaker 1: you get all our ship delivered to your house. All right,

1359
01:28:04,120 --> 01:28:22,639
Speaker 1: Thanks Everyboddy